{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 基于统计分析的电影推荐引擎\n",
    "- 数据读取与特征选择\n",
    "- 数据可视化展示\n",
    "- 数据清洗\n",
    "- 推荐引擎"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据格式处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "#___________________________\n",
    "def load_tmdb_movies(path):\n",
    "    df = pd.read_csv(path)\n",
    "    df['release_date'] = pd.to_datetime(df['release_date']).apply(lambda x: x.date())\n",
    "    json_columns = ['genres', 'keywords', 'production_countries',\n",
    "                    'production_companies', 'spoken_languages']\n",
    "    for column in json_columns:\n",
    "        df[column] = df[column].apply(json.loads)\n",
    "    return df\n",
    "#___________________________\n",
    "def load_tmdb_credits(path):\n",
    "    df = pd.read_csv(path)\n",
    "    json_columns = ['cast', 'crew']\n",
    "    for column in json_columns:\n",
    "        df[column] = df[column].apply(json.loads)\n",
    "    return df\n",
    "#___________________\n",
    "LOST_COLUMNS = [\n",
    "    'actor_1_facebook_likes',\n",
    "    'actor_2_facebook_likes',\n",
    "    'actor_3_facebook_likes',\n",
    "    'aspect_ratio',\n",
    "    'cast_total_facebook_likes',\n",
    "    'color',\n",
    "    'content_rating',\n",
    "    'director_facebook_likes',\n",
    "    'facenumber_in_poster',\n",
    "    'movie_facebook_likes',\n",
    "    'movie_imdb_link',\n",
    "    'num_critic_for_reviews',\n",
    "    'num_user_for_reviews']\n",
    "#____________________________________\n",
    "TMDB_TO_IMDB_SIMPLE_EQUIVALENCIES = {\n",
    "    'budget': 'budget',\n",
    "    'genres': 'genres',\n",
    "    'revenue': 'gross',\n",
    "    'title': 'movie_title',\n",
    "    'runtime': 'duration',\n",
    "    'original_language': 'language',\n",
    "    'keywords': 'plot_keywords',\n",
    "    'vote_count': 'num_voted_users'}\n",
    "#_____________________________________________________\n",
    "IMDB_COLUMNS_TO_REMAP = {'imdb_score': 'vote_average'}\n",
    "#_____________________________________________________\n",
    "def safe_access(container, index_values):\n",
    "    # return missing value rather than an error upon indexing/key failure\n",
    "    result = container\n",
    "    try:\n",
    "        for idx in index_values:\n",
    "            result = result[idx]\n",
    "        return result\n",
    "    except IndexError or KeyError:\n",
    "        return pd.np.nan\n",
    "#_____________________________________________________\n",
    "def get_director(crew_data):\n",
    "    directors = [x['name'] for x in crew_data if x['job'] == 'Director']\n",
    "    return safe_access(directors, [0])\n",
    "#_____________________________________________________\n",
    "def pipe_flatten_names(keywords):\n",
    "    return '|'.join([x['name'] for x in keywords])\n",
    "#_____________________________________________________\n",
    "def convert_to_original_format(movies, credits):\n",
    "    tmdb_movies = movies.copy()\n",
    "    tmdb_movies.rename(columns=TMDB_TO_IMDB_SIMPLE_EQUIVALENCIES, inplace=True)\n",
    "    tmdb_movies['title_year'] = pd.to_datetime(tmdb_movies['release_date']).apply(lambda x: x.year)\n",
    "    # I'm assuming that the first production country is equivalent, but have not been able to validate this\n",
    "    tmdb_movies['country'] = tmdb_movies['production_countries'].apply(lambda x: safe_access(x, [0, 'name']))\n",
    "    tmdb_movies['language'] = tmdb_movies['spoken_languages'].apply(lambda x: safe_access(x, [0, 'name']))\n",
    "    tmdb_movies['director_name'] = credits['crew'].apply(get_director)\n",
    "    tmdb_movies['actor_1_name'] = credits['cast'].apply(lambda x: safe_access(x, [1, 'name']))\n",
    "    tmdb_movies['actor_2_name'] = credits['cast'].apply(lambda x: safe_access(x, [2, 'name']))\n",
    "    tmdb_movies['actor_3_name'] = credits['cast'].apply(lambda x: safe_access(x, [3, 'name']))\n",
    "    tmdb_movies['genres'] = tmdb_movies['genres'].apply(pipe_flatten_names)\n",
    "    tmdb_movies['plot_keywords'] = tmdb_movies['plot_keywords'].apply(pipe_flatten_names)\n",
    "    return tmdb_movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\ProgramData\\Anaconda3\\lib\\site-packages\\fuzzywuzzy\\fuzz.py:35: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n",
      "  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[{'cast_id': 242, 'character': 'Jake Sully', '...</td>\n",
       "      <td>[{'credit_id': '52fe48009251416c750aca23', 'de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[{'cast_id': 4, 'character': 'Captain Jack Spa...</td>\n",
       "      <td>[{'credit_id': '52fe4232c3a36847f800b579', 'de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[{'cast_id': 1, 'character': 'James Bond', 'cr...</td>\n",
       "      <td>[{'credit_id': '54805967c3a36829b5002c41', 'de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[{'cast_id': 2, 'character': 'Bruce Wayne / Ba...</td>\n",
       "      <td>[{'credit_id': '52fe4781c3a36847f81398c3', 'de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[{'cast_id': 5, 'character': 'John Carter', 'c...</td>\n",
       "      <td>[{'credit_id': '52fe479ac3a36847f813eaa3', 'de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{'cast_id': 242, 'character': 'Jake Sully', '...   \n",
       "1  [{'cast_id': 4, 'character': 'Captain Jack Spa...   \n",
       "2  [{'cast_id': 1, 'character': 'James Bond', 'cr...   \n",
       "3  [{'cast_id': 2, 'character': 'Bruce Wayne / Ba...   \n",
       "4  [{'cast_id': 5, 'character': 'John Carter', 'c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{'credit_id': '52fe48009251416c750aca23', 'de...  \n",
       "1  [{'credit_id': '52fe4232c3a36847f800b579', 'de...  \n",
       "2  [{'credit_id': '54805967c3a36829b5002c41', 'de...  \n",
       "3  [{'credit_id': '52fe4781c3a36847f81398c3', 'de...  \n",
       "4  [{'credit_id': '52fe479ac3a36847f813eaa3', 'de...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math, nltk, warnings\n",
    "from nltk.corpus import wordnet\n",
    "from sklearn import linear_model\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "from fuzzywuzzy import fuzz\n",
    "from wordcloud import WordCloud, STOPWORDS\n",
    "plt.rcParams[\"patch.force_edgecolor\"] = True\n",
    "plt.style.use('fivethirtyeight')\n",
    "mpl.rc('patch', edgecolor = 'dimgray', linewidth=1)\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"last_expr\"\n",
    "pd.options.display.max_columns = 50\n",
    "%matplotlib inline\n",
    "warnings.filterwarnings('ignore')\n",
    "PS = nltk.stem.PorterStemmer()\n",
    "#__________________\n",
    "# load the dataset\n",
    "credits = load_tmdb_credits(\"tmdb_5000_credits.csv\")\n",
    "credits.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{'id': 1463, 'name': 'culture clash'}, {'id':...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{'name': 'Ingenious Film Partners', 'id': 289...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 14, '...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{'id': 270, 'name': 'ocean'}, {'id': 726, 'na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}, {'...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{'id': 470, 'name': 'spy'}, {'id': 818, 'name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{'name': 'Columbia Pictures', 'id': 5}, {'nam...</td>\n",
       "      <td>[{'iso_3166_1': 'GB', 'name': 'United Kingdom'...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{'iso_639_1': 'fr', 'name': 'Français'}, {'is...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{'id': 849, 'name': 'dc comics'}, {'id': 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{'name': 'Legendary Pictures', 'id': 923}, {'...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{'id': 818, 'name': 'based on novel'}, {'id':...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...   \n",
       "1  300000000  [{'id': 12, 'name': 'Adventure'}, {'id': 14, '...   \n",
       "2  245000000  [{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...   \n",
       "3  250000000  [{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...   \n",
       "4  260000000  [{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{'id': 1463, 'name': 'culture clash'}, {'id':...                en   \n",
       "1  [{'id': 270, 'name': 'ocean'}, {'id': 726, 'na...                en   \n",
       "2  [{'id': 470, 'name': 'spy'}, {'id': 818, 'name...                en   \n",
       "3  [{'id': 849, 'name': 'dc comics'}, {'id': 853,...                en   \n",
       "4  [{'id': 818, 'name': 'based on novel'}, {'id':...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies  \\\n",
       "0  [{'name': 'Ingenious Film Partners', 'id': 289...   \n",
       "1  [{'name': 'Walt Disney Pictures', 'id': 2}, {'...   \n",
       "2  [{'name': 'Columbia Pictures', 'id': 5}, {'nam...   \n",
       "3  [{'name': 'Legendary Pictures', 'id': 923}, {'...   \n",
       "4        [{'name': 'Walt Disney Pictures', 'id': 2}]   \n",
       "\n",
       "                                production_countries release_date     revenue  \\\n",
       "0  [{'iso_3166_1': 'US', 'name': 'United States o...   2009-12-10  2787965087   \n",
       "1  [{'iso_3166_1': 'US', 'name': 'United States o...   2007-05-19   961000000   \n",
       "2  [{'iso_3166_1': 'GB', 'name': 'United Kingdom'...   2015-10-26   880674609   \n",
       "3  [{'iso_3166_1': 'US', 'name': 'United States o...   2012-07-16  1084939099   \n",
       "4  [{'iso_3166_1': 'US', 'name': 'United States o...   2012-03-07   284139100   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
       "0    162.0  [{'iso_639_1': 'en', 'name': 'English'}, {'iso...  Released   \n",
       "1    169.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "2    148.0  [{'iso_639_1': 'fr', 'name': 'Français'}, {'is...  Released   \n",
       "3    165.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "4    132.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                      title  vote_average  vote_count  \n",
       "0                                    Avatar           7.2       11800  \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500  \n",
       "2                                   Spectre           6.3        4466  \n",
       "3                     The Dark Knight Rises           7.6        9106  \n",
       "4                               John Carter           6.1        2124  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies = load_tmdb_movies(\"tmdb_5000_movies.csv\")\n",
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>gross</th>\n",
       "      <th>duration</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>title_year</th>\n",
       "      <th>country</th>\n",
       "      <th>director_name</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>Action|Adventure|Fantasy|Science Fiction</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>culture clash|future|space war|space colony|so...</td>\n",
       "      <td>English</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{'name': 'Ingenious Film Partners', 'id': 289...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Zoe Saldana</td>\n",
       "      <td>Sigourney Weaver</td>\n",
       "      <td>Stephen Lang</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>Adventure|Fantasy|Action</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>ocean|drug abuse|exotic island|east india trad...</td>\n",
       "      <td>English</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}, {'...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>Keira Knightley</td>\n",
       "      <td>Stellan Skarsgård</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>Action|Adventure|Crime</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>spy|based on novel|secret agent|sequel|mi6|bri...</td>\n",
       "      <td>Français</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{'name': 'Columbia Pictures', 'id': 5}, {'nam...</td>\n",
       "      <td>[{'iso_3166_1': 'GB', 'name': 'United Kingdom'...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{'iso_639_1': 'fr', 'name': 'Français'}, {'is...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Léa Seydoux</td>\n",
       "      <td>Ralph Fiennes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>Action|Crime|Drama|Thriller</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>dc comics|crime fighter|terrorist|secret ident...</td>\n",
       "      <td>English</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{'name': 'Legendary Pictures', 'id': 923}, {'...</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>Michael Caine</td>\n",
       "      <td>Gary Oldman</td>\n",
       "      <td>Anne Hathaway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>Action|Adventure|Science Fiction</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>based on novel|mars|medallion|space travel|pri...</td>\n",
       "      <td>English</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
       "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>Lynn Collins</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>Willem Dafoe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                    genres  \\\n",
       "0  237000000  Action|Adventure|Fantasy|Science Fiction   \n",
       "1  300000000                  Adventure|Fantasy|Action   \n",
       "2  245000000                    Action|Adventure|Crime   \n",
       "3  250000000               Action|Crime|Drama|Thriller   \n",
       "4  260000000          Action|Adventure|Science Fiction   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                       plot_keywords  language  \\\n",
       "0  culture clash|future|space war|space colony|so...   English   \n",
       "1  ocean|drug abuse|exotic island|east india trad...   English   \n",
       "2  spy|based on novel|secret agent|sequel|mi6|bri...  Français   \n",
       "3  dc comics|crime fighter|terrorist|secret ident...   English   \n",
       "4  based on novel|mars|medallion|space travel|pri...   English   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies  \\\n",
       "0  [{'name': 'Ingenious Film Partners', 'id': 289...   \n",
       "1  [{'name': 'Walt Disney Pictures', 'id': 2}, {'...   \n",
       "2  [{'name': 'Columbia Pictures', 'id': 5}, {'nam...   \n",
       "3  [{'name': 'Legendary Pictures', 'id': 923}, {'...   \n",
       "4        [{'name': 'Walt Disney Pictures', 'id': 2}]   \n",
       "\n",
       "                                production_countries release_date       gross  \\\n",
       "0  [{'iso_3166_1': 'US', 'name': 'United States o...   2009-12-10  2787965087   \n",
       "1  [{'iso_3166_1': 'US', 'name': 'United States o...   2007-05-19   961000000   \n",
       "2  [{'iso_3166_1': 'GB', 'name': 'United Kingdom'...   2015-10-26   880674609   \n",
       "3  [{'iso_3166_1': 'US', 'name': 'United States o...   2012-07-16  1084939099   \n",
       "4  [{'iso_3166_1': 'US', 'name': 'United States o...   2012-03-07   284139100   \n",
       "\n",
       "   duration                                   spoken_languages    status  \\\n",
       "0     162.0  [{'iso_639_1': 'en', 'name': 'English'}, {'iso...  Released   \n",
       "1     169.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "2     148.0  [{'iso_639_1': 'fr', 'name': 'Français'}, {'is...  Released   \n",
       "3     165.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "4     132.0           [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                movie_title  vote_average  num_voted_users  \\\n",
       "0                                    Avatar           7.2            11800   \n",
       "1  Pirates of the Caribbean: At World's End           6.9             4500   \n",
       "2                                   Spectre           6.3             4466   \n",
       "3                     The Dark Knight Rises           7.6             9106   \n",
       "4                               John Carter           6.1             2124   \n",
       "\n",
       "   title_year                   country      director_name     actor_1_name  \\\n",
       "0      2009.0  United States of America      James Cameron      Zoe Saldana   \n",
       "1      2007.0  United States of America     Gore Verbinski    Orlando Bloom   \n",
       "2      2015.0            United Kingdom         Sam Mendes  Christoph Waltz   \n",
       "3      2012.0  United States of America  Christopher Nolan    Michael Caine   \n",
       "4      2012.0  United States of America     Andrew Stanton     Lynn Collins   \n",
       "\n",
       "       actor_2_name       actor_3_name  \n",
       "0  Sigourney Weaver       Stephen Lang  \n",
       "1   Keira Knightley  Stellan Skarsgård  \n",
       "2       Léa Seydoux      Ralph Fiennes  \n",
       "3       Gary Oldman      Anne Hathaway  \n",
       "4   Samantha Morton       Willem Dafoe  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_initial = convert_to_original_format(movies, credits)\n",
    "df_initial.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据情况展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>gross</th>\n",
       "      <th>duration</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>title_year</th>\n",
       "      <th>country</th>\n",
       "      <th>director_name</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>column type</th>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>float64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>float64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>null values</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3091</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>844</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>174</td>\n",
       "      <td>30</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>null values (%)</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64.3556</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79055</td>\n",
       "      <td>0</td>\n",
       "      <td>0.062461</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0208203</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0416406</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.5724</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0208203</td>\n",
       "      <td>3.62274</td>\n",
       "      <td>0.62461</td>\n",
       "      <td>1.10348</td>\n",
       "      <td>1.31168</td>\n",
       "      <td>1.93629</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                budget  genres homepage     id plot_keywords language  \\\n",
       "column type      int64  object   object  int64        object   object   \n",
       "null values          0       0     3091      0             0       86   \n",
       "null values (%)      0       0  64.3556      0             0  1.79055   \n",
       "\n",
       "                original_title  overview popularity production_companies  \\\n",
       "column type             object    object    float64               object   \n",
       "null values                  0         3          0                    0   \n",
       "null values (%)              0  0.062461          0                    0   \n",
       "\n",
       "                production_countries release_date  gross   duration  \\\n",
       "column type                   object       object  int64    float64   \n",
       "null values                        0            1      0          2   \n",
       "null values (%)                    0    0.0208203      0  0.0416406   \n",
       "\n",
       "                spoken_languages  status  tagline movie_title vote_average  \\\n",
       "column type               object  object   object      object      float64   \n",
       "null values                    0       0      844           0            0   \n",
       "null values (%)                0       0  17.5724           0            0   \n",
       "\n",
       "                num_voted_users title_year  country director_name  \\\n",
       "column type               int64    float64   object        object   \n",
       "null values                   0          1      174            30   \n",
       "null values (%)               0  0.0208203  3.62274       0.62461   \n",
       "\n",
       "                actor_1_name actor_2_name actor_3_name  \n",
       "column type           object       object       object  \n",
       "null values               53           63           93  \n",
       "null values (%)      1.10348      1.31168      1.93629  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# info on variable types and filling factor\n",
    "tab_info=pd.DataFrame(df_initial.dtypes).T.rename(index={0:'column type'})\n",
    "tab_info=tab_info.append(pd.DataFrame(df_initial.isnull().sum()).T.rename(index={0:'null values'}))\n",
    "tab_info=tab_info.append(pd.DataFrame(df_initial.isnull().sum()/df_initial.shape[0]*100).T.\n",
    "                         rename(index={0:'null values (%)'}))\n",
    "tab_info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "关键词信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "set_keywords = set()\n",
    "for liste_keywords in df_initial['plot_keywords'].str.split('|').values:\n",
    "    if isinstance(liste_keywords, float): continue  # only happen if liste_keywords = NaN\n",
    "    set_keywords = set_keywords.union(liste_keywords)\n",
    "#_________________________\n",
    "# remove null chain entry\n",
    "set_keywords.remove('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "统计关键词频率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def count_word(df, ref_col, liste):\n",
    "    keyword_count = dict()\n",
    "    for s in liste: keyword_count[s] = 0\n",
    "    for liste_keywords in df[ref_col].str.split('|'):        \n",
    "        if type(liste_keywords) == float and pd.isnull(liste_keywords): continue        \n",
    "        for s in [s for s in liste_keywords if s in liste]: \n",
    "            if pd.notnull(s): keyword_count[s] += 1\n",
    "    #______________________________________________________________________\n",
    "    # convert the dictionary in a list to sort the keywords by frequency\n",
    "    keyword_occurences = []\n",
    "    for k,v in keyword_count.items():\n",
    "        keyword_occurences.append([k,v])\n",
    "    keyword_occurences.sort(key = lambda x:x[1], reverse = True)\n",
    "    return keyword_occurences, keyword_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['woman director', 324],\n",
       " ['independent film', 318],\n",
       " ['duringcreditsstinger', 307],\n",
       " ['based on novel', 197],\n",
       " ['murder', 189]]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keyword_occurences, dum = count_word(df_initial, 'plot_keywords', set_keywords)\n",
    "keyword_occurences[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "关键词情况展示：词云和统计图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABLIAAAODCAYAAAConSh/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x208d54215f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#https://github.com/amueller/word_cloud\n",
    "def random_color_func(word=None, font_size=None, position=None,\n",
    "                      orientation=None, font_path=None, random_state=None):\n",
    "    h = int(360.0 * tone / 255.0)\n",
    "    s = int(100.0 * 255.0 / 255.0)\n",
    "    l = int(100.0 * float(random_state.randint(70, 120)) / 255.0)\n",
    "    return \"hsl({}, {}%, {}%)\".format(h, s, l)\n",
    "#_____________________________________________\n",
    "# UPPER PANEL: WORDCLOUD\n",
    "fig = plt.figure(1, figsize=(18,13))\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "#_______________________________________________________\n",
    "# I define the dictionary used to produce the wordcloud\n",
    "words = dict()\n",
    "trunc_occurences = keyword_occurences[0:50]\n",
    "for s in trunc_occurences:\n",
    "    words[s[0]] = s[1]\n",
    "tone = 55.0 # define the color of the words\n",
    "#________________________________________________________\n",
    "wordcloud = WordCloud(width=1000,height=300, background_color='black', \n",
    "                      max_words=1628,relative_scaling=1,\n",
    "                      color_func = random_color_func,\n",
    "                      normalize_plurals=False)\n",
    "wordcloud.generate_from_frequencies(words)\n",
    "ax1.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "ax1.axis('off')\n",
    "#_____________________________________________\n",
    "# LOWER PANEL: HISTOGRAMS\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "y_axis = [i[1] for i in trunc_occurences]\n",
    "x_axis = [k for k,i in enumerate(trunc_occurences)]\n",
    "x_label = [i[0] for i in trunc_occurences]\n",
    "plt.xticks(rotation=85, fontsize = 15)\n",
    "plt.yticks(fontsize = 15)\n",
    "plt.xticks(x_axis, x_label)\n",
    "plt.ylabel(\"Nb. of occurences\", fontsize = 18, labelpad = 10)\n",
    "ax2.bar(x_axis, y_axis, align = 'center', color='g')\n",
    "#_______________________\n",
    "plt.title(\"Keywords popularity\",bbox={'facecolor':'k', 'pad':5},color='w',fontsize = 25)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据缺失情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column_name</th>\n",
       "      <th>missing_count</th>\n",
       "      <th>filling_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>homepage</td>\n",
       "      <td>3091</td>\n",
       "      <td>35.644389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tagline</td>\n",
       "      <td>844</td>\n",
       "      <td>82.427649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>country</td>\n",
       "      <td>174</td>\n",
       "      <td>96.377264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>actor_3_name</td>\n",
       "      <td>93</td>\n",
       "      <td>98.063710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>language</td>\n",
       "      <td>86</td>\n",
       "      <td>98.209452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>actor_2_name</td>\n",
       "      <td>63</td>\n",
       "      <td>98.688320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>actor_1_name</td>\n",
       "      <td>53</td>\n",
       "      <td>98.896523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>director_name</td>\n",
       "      <td>30</td>\n",
       "      <td>99.375390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>overview</td>\n",
       "      <td>3</td>\n",
       "      <td>99.937539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>duration</td>\n",
       "      <td>2</td>\n",
       "      <td>99.958359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>title_year</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>release_date</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>num_voted_users</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>vote_average</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>movie_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>budget</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>spoken_languages</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>production_countries</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>production_companies</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>popularity</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>original_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>plot_keywords</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>id</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>genres</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>status</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>gross</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             column_name  missing_count  filling_factor\n",
       "0               homepage           3091       35.644389\n",
       "1                tagline            844       82.427649\n",
       "2                country            174       96.377264\n",
       "3           actor_3_name             93       98.063710\n",
       "4               language             86       98.209452\n",
       "5           actor_2_name             63       98.688320\n",
       "6           actor_1_name             53       98.896523\n",
       "7          director_name             30       99.375390\n",
       "8               overview              3       99.937539\n",
       "9               duration              2       99.958359\n",
       "10            title_year              1       99.979180\n",
       "11          release_date              1       99.979180\n",
       "12       num_voted_users              0      100.000000\n",
       "13          vote_average              0      100.000000\n",
       "14           movie_title              0      100.000000\n",
       "15                budget              0      100.000000\n",
       "16      spoken_languages              0      100.000000\n",
       "17  production_countries              0      100.000000\n",
       "18  production_companies              0      100.000000\n",
       "19            popularity              0      100.000000\n",
       "20        original_title              0      100.000000\n",
       "21         plot_keywords              0      100.000000\n",
       "22                    id              0      100.000000\n",
       "23                genres              0      100.000000\n",
       "24                status              0      100.000000\n",
       "25                 gross              0      100.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_df = df_initial.isnull().sum(axis=0).reset_index()\n",
    "missing_df.columns = ['column_name', 'missing_count']\n",
    "missing_df['filling_factor'] = (df_initial.shape[0] \n",
    "                                - missing_df['missing_count']) / df_initial.shape[0] * 100\n",
    "missing_df.sort_values('filling_factor').reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "看起来，homepage和tagline缺失比较多"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "电影年份（时代）统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_initial['decade'] = df_initial['title_year'].apply(lambda x:((x-1900)//10)*10)\n",
    "#__________________________________________________________________\n",
    "# function that extract statistical parameters from a grouby objet:\n",
    "def get_stats(gr):\n",
    "    return {'min':gr.min(),'max':gr.max(),'count': gr.count(),'mean':gr.mean()}\n",
    "#______________________________________________________________\n",
    "# Creation of a dataframe with statitical infos on each decade:\n",
    "test = df_initial['title_year'].groupby(df_initial['decade']).apply(get_stats).unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>decade</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1916.0</td>\n",
       "      <td>1916.000000</td>\n",
       "      <td>1916.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.0</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>1927.500000</td>\n",
       "      <td>1925.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1939.0</td>\n",
       "      <td>1935.733333</td>\n",
       "      <td>1930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.0</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1949.0</td>\n",
       "      <td>1944.560000</td>\n",
       "      <td>1940.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50.0</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1959.0</td>\n",
       "      <td>1954.296296</td>\n",
       "      <td>1950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60.0</th>\n",
       "      <td>71.0</td>\n",
       "      <td>1969.0</td>\n",
       "      <td>1965.028169</td>\n",
       "      <td>1960.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70.0</th>\n",
       "      <td>109.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>1974.944954</td>\n",
       "      <td>1970.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80.0</th>\n",
       "      <td>278.0</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>1984.715827</td>\n",
       "      <td>1980.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90.0</th>\n",
       "      <td>778.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>1996.141388</td>\n",
       "      <td>1990.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100.0</th>\n",
       "      <td>2048.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>2004.796387</td>\n",
       "      <td>2000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110.0</th>\n",
       "      <td>1446.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2012.762794</td>\n",
       "      <td>2010.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         count     max         mean     min\n",
       "decade                                     \n",
       "10.0       1.0  1916.0  1916.000000  1916.0\n",
       "20.0       4.0  1929.0  1927.500000  1925.0\n",
       "30.0      15.0  1939.0  1935.733333  1930.0\n",
       "40.0      25.0  1949.0  1944.560000  1940.0\n",
       "50.0      27.0  1959.0  1954.296296  1950.0\n",
       "60.0      71.0  1969.0  1965.028169  1960.0\n",
       "70.0     109.0  1979.0  1974.944954  1970.0\n",
       "80.0     278.0  1989.0  1984.715827  1980.0\n",
       "90.0     778.0  1999.0  1996.141388  1990.0\n",
       "100.0   2048.0  2009.0  2004.796387  2000.0\n",
       "110.0   1446.0  2017.0  2012.762794  2010.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAr8AAAFmCAYAAABkwPKUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nK98Q4vcVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x208c7477390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context(\"poster\", font_scale=0.85)\n",
    "#_______________________________\n",
    "# funtion used to set the labels\n",
    "def label(s):\n",
    "    val = (1900 + s, s)[s < 100]\n",
    "    chaine = '' if s < 50 else \"{}'s\".format(int(val))\n",
    "    return chaine\n",
    "#____________________________________\n",
    "plt.rc('font', weight='bold')\n",
    "f, ax = plt.subplots(figsize=(11, 6))\n",
    "labels = [label(s) for s in  test.index]\n",
    "sizes  = test['count'].values\n",
    "explode = [0.2 if sizes[i] < 100 else 0.01 for i in range(11)]\n",
    "ax.pie(sizes, explode = explode, labels=labels,\n",
    "       autopct = lambda x:'{:1.0f}%'.format(x) if x > 1 else '',\n",
    "       shadow=False, startangle=0)\n",
    "ax.axis('equal')\n",
    "ax.set_title('% of films per decade',\n",
    "             bbox={'facecolor':'k', 'pad':5},color='w', fontsize=16);\n",
    "df_initial.drop('decade', axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "电影类型统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "genre_labels = set()\n",
    "for s in df_initial['genres'].str.split('|').values:\n",
    "    genre_labels = genre_labels.union(set(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Drama', 2297],\n",
       " ['Comedy', 1722],\n",
       " ['Thriller', 1274],\n",
       " ['Action', 1154],\n",
       " ['Romance', 894]]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keyword_occurences, dum = count_word(df_initial, 'genres', genre_labels)\n",
    "keyword_occurences[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据清洗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_duplicate_cleaned = df_initial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Collect the keywords\n",
    "#----------------------\n",
    "def keywords_inventory(dataframe, colonne = 'plot_keywords'):\n",
    "    PS = nltk.stem.PorterStemmer()\n",
    "    keywords_roots  = dict()  # collect the words / root\n",
    "    keywords_select = dict()  # association: root <-> keyword\n",
    "    category_keys = []\n",
    "    icount = 0\n",
    "    for s in dataframe[colonne]:\n",
    "        if pd.isnull(s): continue\n",
    "        for t in s.split('|'):\n",
    "            t = t.lower() ; racine = PS.stem(t)\n",
    "            if racine in keywords_roots:                \n",
    "                keywords_roots[racine].add(t)\n",
    "            else:\n",
    "                keywords_roots[racine] = {t}\n",
    "    \n",
    "    for s in keywords_roots.keys():\n",
    "        if len(keywords_roots[s]) > 1:  \n",
    "            min_length = 1000\n",
    "            for k in keywords_roots[s]:\n",
    "                if len(k) < min_length:\n",
    "                    clef = k ; min_length = len(k)            \n",
    "            category_keys.append(clef)\n",
    "            keywords_select[s] = clef\n",
    "        else:\n",
    "            category_keys.append(list(keywords_roots[s])[0])\n",
    "            keywords_select[s] = list(keywords_roots[s])[0]\n",
    "                   \n",
    "    print(\"Nb of keywords in variable '{}': {}\".format(colonne,len(category_keys)))\n",
    "    return category_keys, keywords_roots, keywords_select"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nb of keywords in variable 'plot_keywords': 9474\n"
     ]
    }
   ],
   "source": [
    "keywords, keywords_roots, keywords_select = keywords_inventory(df_duplicate_cleaned,\n",
    "                                                               colonne = 'plot_keywords')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dict: {'culture clash': {'culture clash'}, 'futur': {'future'}, 'space war': {'space war'}, 'space coloni': {'space \n",
    " colony'}, 'societi': {'society'}, 'space travel': {'space travel'}, 'futurist': {'futuristic'}, 'romanc': {'romance'}, \n",
    " 'space': {'space'}, 'alien': {'alien', 'alienation'}, 'tribe': {'tribe'}, 'alien planet': {'alien planet'}, 'cgi': {'cgi'}, \n",
    " 'marin': {'marine'}, 'soldier': {'soldier'}, 'battl': {'battle'}, 'love affair': {'love affair'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 {'alien', 'alienation'} 2\n",
      "2 {'spy', 'spying'} 2\n",
      "3 {'vigilante', 'vigilantism'} 2\n",
      "4 {'terror', 'terrorism'} 2\n",
      "5 {'flooding', 'flood'} 2\n",
      "6 {'spider', 'spiders'} 2\n",
      "7 {'horse', 'horses'} 2\n",
      "8 {'music', 'musical'} 2\n",
      "9 {'animation', 'animal', 'anime'} 3\n",
      "10 {'compassion', 'compass'} 2\n",
      "11 {'train', 'training'} 2\n",
      "12 {'sailing', 'sail'} 2\n",
      "13 {'time travel', 'time traveler'} 2\n",
      "14 {'orc', 'orcs'} 2\n"
     ]
    }
   ],
   "source": [
    "# Plot of a sample of keywords that appear in close varieties \n",
    "#------------------------------------------------------------\n",
    "icount = 0\n",
    "for s in keywords_roots.keys():\n",
    "    if len(keywords_roots[s]) > 1: \n",
    "        icount += 1\n",
    "        if icount < 15: print(icount, keywords_roots[s], len(keywords_roots[s]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Replacement of the keywords by the main form\n",
    "#----------------------------------------------\n",
    "def remplacement_df_keywords(df, dico_remplacement, roots = False):\n",
    "    df_new = df.copy(deep = True)\n",
    "    for index, row in df_new.iterrows():\n",
    "        chaine = row['plot_keywords']\n",
    "        if pd.isnull(chaine): continue\n",
    "        nouvelle_liste = []\n",
    "        for s in chaine.split('|'): \n",
    "            clef = PS.stem(s) if roots else s\n",
    "            if clef in dico_remplacement.keys():\n",
    "                nouvelle_liste.append(dico_remplacement[clef])\n",
    "            else:\n",
    "                nouvelle_liste.append(s)       \n",
    "        df_new.set_value(index, 'plot_keywords', '|'.join(nouvelle_liste)) \n",
    "    return df_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Replacement of the keywords by the main keyword\n",
    "#-------------------------------------------------\n",
    "df_keywords_cleaned = remplacement_df_keywords(df_duplicate_cleaned, keywords_select,\n",
    "                                               roots = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['woman director', 324],\n",
       " ['independent film', 318],\n",
       " ['duringcreditsstinger', 307],\n",
       " ['based on novel', 197],\n",
       " ['murder', 197]]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count of the keywords occurences\n",
    "#----------------------------------\n",
    "keywords.remove('')\n",
    "keyword_occurences, keywords_count = count_word(df_keywords_cleaned,'plot_keywords',keywords)\n",
    "keyword_occurences[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# get the synomyms of the word 'mot_cle'\n",
    "#--------------------------------------------------------------\n",
    "def get_synonymes(mot_cle):\n",
    "    lemma = set()\n",
    "    for ss in wordnet.synsets(mot_cle):\n",
    "        for w in ss.lemma_names():\n",
    "            #_______________________________\n",
    "            # We just get the 'nouns':\n",
    "            index = ss.name().find('.')+1\n",
    "            if ss.name()[index] == 'n': lemma.add(w.lower().replace('_',' '))\n",
    "    return lemma   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \"noncitizen                    \" in keywords list -> False 0\n",
      " \"unknown                       \" in keywords list -> False 0\n",
      " \"extraterrestrial              \" in keywords list -> True 4\n",
      " \"extraterrestrial being        \" in keywords list -> False 0\n",
      " \"foreigner                     \" in keywords list -> False 0\n",
      " \"alien                         \" in keywords list -> True 80\n",
      " \"outlander                     \" in keywords list -> False 0\n",
      " \"stranger                      \" in keywords list -> True 7\n"
     ]
    }
   ],
   "source": [
    "# Exemple of a list of synonyms given by NLTK\n",
    "#---------------------------------------------------\n",
    "mot_cle = 'alien'\n",
    "lemma = get_synonymes(mot_cle)\n",
    "for s in lemma:\n",
    "    print(' \"{:<30}\" in keywords list -> {} {}'.format(s, s in keywords,\n",
    "                                                keywords_count[s] if s in keywords else 0 ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# check if 'mot' is a key of 'key_count' with a test on the number of occurences   \n",
    "#----------------------------------------------------------------------------------\n",
    "def test_keyword(mot, key_count, threshold):\n",
    "    return (False , True)[key_count.get(mot, 0) >= threshold]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "narcism      -> narcissism   (init: [('narcissism', 1), ('narcism', 1)])\n",
      "apparition   -> shadow       (init: [('shadow', 3), ('phantom', 3), ('apparition', 1)])\n",
      "macao        -> macau        (init: [('macau', 1), ('macao', 1)])\n",
      "regent       -> trustee      (init: [('trustee', 1), ('regent', 1)])\n",
      "civilization -> culture      (init: [('culture', 2), ('civilization', 1)])\n",
      "ark          -> ark of the covenant (init: [('ark of the covenant', 2), ('ark', 1)])\n",
      "automaton    -> zombie       (init: [('zombie', 45), ('robot', 27), ('automaton', 1)])\n",
      "__________________________________________________________________________________________\n",
      "The replacement concerns 5.99% of the keywords.\n"
     ]
    }
   ],
   "source": [
    "keyword_occurences.sort(key = lambda x:x[1], reverse = False)\n",
    "key_count = dict()\n",
    "for s in keyword_occurences:\n",
    "    key_count[s[0]] = s[1]\n",
    "#__________________________________________________________________________\n",
    "# Creation of a dictionary to replace keywords by higher frequency keywords\n",
    "remplacement_mot = dict()\n",
    "icount = 0\n",
    "for index, [mot, nb_apparitions] in enumerate(keyword_occurences):\n",
    "    if nb_apparitions > 5: continue  # only the keywords that appear less than 5 times\n",
    "    lemma = get_synonymes(mot)\n",
    "    if len(lemma) == 0: continue     # case of the plurals\n",
    "    #_________________________________________________________________\n",
    "    liste_mots = [(s, key_count[s]) for s in lemma \n",
    "                  if test_keyword(s, key_count, key_count[mot])]\n",
    "    liste_mots.sort(key = lambda x:(x[1],x[0]), reverse = True)    \n",
    "    if len(liste_mots) <= 1: continue       # no replacement\n",
    "    if mot == liste_mots[0][0]: continue    # replacement by himself\n",
    "    icount += 1\n",
    "    if  icount < 8:\n",
    "        print('{:<12} -> {:<12} (init: {})'.format(mot, liste_mots[0][0], liste_mots))    \n",
    "    remplacement_mot[mot] = liste_mots[0][0]\n",
    "\n",
    "print(90*'_'+'\\n'+'The replacement concerns {}% of the keywords.'\n",
    "      .format(round(len(remplacement_mot)/len(keywords)*100,2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KEYWORDS THAT APPEAR BOTH IN KEYS AND VALUES:\n",
      "---------------------------------------------\n",
      "shadow               -> dark                \n",
      "failure              -> loser               \n",
      "leech                -> parasite            \n",
      "carnival             -> circus              \n",
      "pit                  -> hell                \n",
      "drawing              -> lottery             \n",
      "deal                 -> mountain            \n",
      "twist                -> crook               \n",
      "pest                 -> plague              \n"
     ]
    }
   ],
   "source": [
    "# 2 successive replacements\n",
    "#---------------------------\n",
    "print('Keywords that appear both in keys and values:'.upper()+'\\n'+45*'-')\n",
    "icount = 0\n",
    "for s in remplacement_mot.values():\n",
    "    if s in remplacement_mot.keys():\n",
    "        icount += 1\n",
    "        if icount < 10: print('{:<20} -> {:<20}'.format(s, remplacement_mot[s]))\n",
    "\n",
    "for key, value in remplacement_mot.items():\n",
    "    if value in remplacement_mot.keys():\n",
    "        remplacement_mot[key] = remplacement_mot[value]             "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nb of keywords in variable 'plot_keywords': 8908\n"
     ]
    }
   ],
   "source": [
    "# replacement of keyword varieties by the main keyword\n",
    "#----------------------------------------------------------\n",
    "df_keywords_synonyms = \\\n",
    "            remplacement_df_keywords(df_keywords_cleaned, remplacement_mot, roots = False)   \n",
    "keywords, keywords_roots, keywords_select = \\\n",
    "            keywords_inventory(df_keywords_synonyms, colonne = 'plot_keywords')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['woman director', 324],\n",
       " ['independent film', 318],\n",
       " ['duringcreditsstinger', 307],\n",
       " ['based on novel', 197],\n",
       " ['murder', 197]]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# New count of keyword occurences\n",
    "#-------------------------------------\n",
    "keywords.remove('')\n",
    "new_keyword_occurences, keywords_count = count_word(df_keywords_synonyms,\n",
    "                                                    'plot_keywords',keywords)\n",
    "new_keyword_occurences[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# deletion of keywords with low frequencies\n",
    "#-------------------------------------------\n",
    "def remplacement_df_low_frequency_keywords(df, keyword_occurences):\n",
    "    df_new = df.copy(deep = True)\n",
    "    key_count = dict()\n",
    "    for s in keyword_occurences: \n",
    "        key_count[s[0]] = s[1]    \n",
    "    for index, row in df_new.iterrows():\n",
    "        chaine = row['plot_keywords']\n",
    "        if pd.isnull(chaine): continue\n",
    "        nouvelle_liste = []\n",
    "        for s in chaine.split('|'): \n",
    "            if key_count.get(s, 4) > 3: nouvelle_liste.append(s)\n",
    "        df_new.set_value(index, 'plot_keywords', '|'.join(nouvelle_liste))\n",
    "    return df_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nb of keywords in variable 'plot_keywords': 2121\n"
     ]
    }
   ],
   "source": [
    "# Creation of a dataframe where keywords of low frequencies are suppressed\n",
    "#-------------------------------------------------------------------------\n",
    "df_keywords_occurence = \\\n",
    "    remplacement_df_low_frequency_keywords(df_keywords_synonyms, new_keyword_occurences)\n",
    "keywords, keywords_roots, keywords_select = \\\n",
    "    keywords_inventory(df_keywords_occurence, colonne = 'plot_keywords')    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['woman director', 324],\n",
       " ['independent film', 318],\n",
       " ['duringcreditsstinger', 307],\n",
       " ['based on novel', 197],\n",
       " ['murder', 197]]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# New keywords count\n",
    "#-------------------\n",
    "keywords.remove('')\n",
    "new_keyword_occurences, keywords_count = count_word(df_keywords_occurence,\n",
    "                                                    'plot_keywords',keywords)\n",
    "new_keyword_occurences[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnEAAAFQCAYAAADQlSg2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nF7I3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26043cb3160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Graph of keyword occurences\n",
    "#----------------------------\n",
    "font = {'family' : 'fantasy', 'weight' : 'normal', 'size'   : 15}\n",
    "mpl.rc('font', **font)\n",
    "\n",
    "keyword_occurences.sort(key = lambda x:x[1], reverse = True)\n",
    "\n",
    "y_axis = [i[1] for i in keyword_occurences]\n",
    "x_axis = [k for k,i in enumerate(keyword_occurences)]\n",
    "\n",
    "new_y_axis = [i[1] for i in new_keyword_occurences]\n",
    "new_x_axis = [k for k,i in enumerate(new_keyword_occurences)]\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9, 5))\n",
    "ax.plot(x_axis, y_axis, 'r-', label='before cleaning')\n",
    "ax.plot(new_x_axis, new_y_axis, 'b-', label='after cleaning')\n",
    "\n",
    "# Now add the legend with some customizations.\n",
    "legend = ax.legend(loc='upper right', shadow=True)\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor('0.90')\n",
    "for label in legend.get_texts():\n",
    "    label.set_fontsize('medium')\n",
    "            \n",
    "plt.ylim((0,25))\n",
    "plt.axhline(y=3.5, linewidth=2, color = 'k')\n",
    "plt.xlabel(\"keywords index\", family='fantasy', fontsize = 15)\n",
    "plt.ylabel(\"Nb. of occurences\", family='fantasy', fontsize = 15)\n",
    "#plt.suptitle(\"Nombre d'occurences des mots clés\", fontsize = 18, family='fantasy')\n",
    "plt.text(3500, 4.5, 'threshold for keyword delation', fontsize = 13)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "特征相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAKgCAYAAAC/azoaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAED7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26043cbecc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(12, 9))\n",
    "#_____________________________\n",
    "# calculations of correlations\n",
    "corrmat = df_keywords_occurence.dropna(how='any').corr()\n",
    "#________________________________________\n",
    "k = 17 # number of variables for heatmap\n",
    "cols = corrmat.nlargest(k, 'num_voted_users')['num_voted_users'].index\n",
    "cm = np.corrcoef(df_keywords_occurence[cols].dropna(how='any').values.T)\n",
    "sns.set(font_scale=1.25)\n",
    "hm = sns.heatmap(cm, cbar=True, annot=True, square=True,\n",
    "                 fmt='.2f', annot_kws={'size': 10}, linewidth = 0.1, cmap = 'coolwarm',\n",
    "                 yticklabels=cols.values, xticklabels=cols.values)\n",
    "f.text(0.5, 0.93, \"Correlation coefficients\", ha='center', fontsize = 18, family='fantasy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_var_cleaned = df_keywords_occurence.copy(deep = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column_name</th>\n",
       "      <th>missing_count</th>\n",
       "      <th>filling_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>homepage</td>\n",
       "      <td>3091</td>\n",
       "      <td>35.644389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tagline</td>\n",
       "      <td>844</td>\n",
       "      <td>82.427649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>country</td>\n",
       "      <td>174</td>\n",
       "      <td>96.377264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>actor_3_name</td>\n",
       "      <td>93</td>\n",
       "      <td>98.063710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>language</td>\n",
       "      <td>86</td>\n",
       "      <td>98.209452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>actor_2_name</td>\n",
       "      <td>63</td>\n",
       "      <td>98.688320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>actor_1_name</td>\n",
       "      <td>53</td>\n",
       "      <td>98.896523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>director_name</td>\n",
       "      <td>30</td>\n",
       "      <td>99.375390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>overview</td>\n",
       "      <td>3</td>\n",
       "      <td>99.937539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>duration</td>\n",
       "      <td>2</td>\n",
       "      <td>99.958359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>title_year</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>release_date</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>num_voted_users</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>vote_average</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>movie_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>budget</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>spoken_languages</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>production_countries</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>production_companies</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>popularity</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>original_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>plot_keywords</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>id</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>genres</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>status</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>gross</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             column_name  missing_count  filling_factor\n",
       "0               homepage           3091       35.644389\n",
       "1                tagline            844       82.427649\n",
       "2                country            174       96.377264\n",
       "3           actor_3_name             93       98.063710\n",
       "4               language             86       98.209452\n",
       "5           actor_2_name             63       98.688320\n",
       "6           actor_1_name             53       98.896523\n",
       "7          director_name             30       99.375390\n",
       "8               overview              3       99.937539\n",
       "9               duration              2       99.958359\n",
       "10            title_year              1       99.979180\n",
       "11          release_date              1       99.979180\n",
       "12       num_voted_users              0      100.000000\n",
       "13          vote_average              0      100.000000\n",
       "14           movie_title              0      100.000000\n",
       "15                budget              0      100.000000\n",
       "16      spoken_languages              0      100.000000\n",
       "17  production_countries              0      100.000000\n",
       "18  production_companies              0      100.000000\n",
       "19            popularity              0      100.000000\n",
       "20        original_title              0      100.000000\n",
       "21         plot_keywords              0      100.000000\n",
       "22                    id              0      100.000000\n",
       "23                genres              0      100.000000\n",
       "24                status              0      100.000000\n",
       "25                 gross              0      100.000000"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_df = df_var_cleaned.isnull().sum(axis=0).reset_index()\n",
    "missing_df.columns = ['column_name', 'missing_count']\n",
    "missing_df['filling_factor'] = (df_var_cleaned.shape[0] \n",
    "                                - missing_df['missing_count']) / df_var_cleaned.shape[0] * 100\n",
    "missing_df = missing_df.sort_values('filling_factor').reset_index(drop = True)\n",
    "missing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAu8AAAF/CAYAAAD5DSePAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzs3XlcVPX+P/DXbDAMwy6CKyCgEIJL\n5pobat4Ss7Sy7H61W5n80ttyzbxZZlm3m3btZnmz23JbrDQtszTLJU0zlEJTRBARWUT2HQaGWc78\n/kAGhnXAmYGTr+fj0SPOmTPvz3vm4Pm858NnPkdiMplMICIiIiKiHk/a3QkQEREREZF1WLwTERER\nEYkEi3ciIiIiIpFg8U5EREREJBIs3omIiIiIRELe3QnYW1FRVXen0CEvLxXKymoYvxvb6Ex8397u\nAICiwkq7xO+K6+0c9MT4jmiD8bu/jZ4Uv/fb9deiwkd7zrXIEW2IPb4j2mD8ntHGtfL1dWt1P0fe\newC5XMb43dwG43d/G2KP74g2GL/722D87m9D7PEd0Qbj94w27IXFOxERERGRSLB4JyIiIiISCRbv\nREREREQiweKdiIiIiEgkWLwTEREREYlEtxbviYmJuPnmm83bFRUVWLp0KW688UZMmTIFO3bsMD+m\n0+mwatUqjB49GuPHj8fmzZu7I2UiIiIiom7TLeu8m0wmfPXVV3j11VchkzUu1bN69WqoVCrExcUh\nNTUVixcvRmRkJMLCwvDvf/8bubm5+PHHH1FSUoIHH3wQQ4YMQXR0dHe8BCIiIiIih+uWkfd33nkH\nn3zyCWJjY837NBoNDh48iMceewzOzs6IiopCTEyMefT922+/xZIlS+Dm5obAwED8+c9/xvbt27sj\nfSIiIiKibtEtI+/z5s1DbGwsfv31V/O+rKwsyOVyDBgwwLwvKCgI+/fvR0VFBYqLixESEmLx2Gef\nfebQvImocwRBQGlpiZXH1qC0VNPhcd7ePpBKG8cdrG3D3vGtbcPe8Zu3wXPg+PjN27BXfMvn8RzY\nqo3r9T3iOeg4fk/RLcV77969W+yrqamBUqm02KdUKqHValFbWwsAcHFxafFYR7y8VKK4i1Zbt8Bl\nfMe10dn49j6+s7oSXxAEFBUVWXVsQUHHt5H29fW1uNAVFBTg+f8ehkHi0s6zrCc31WLTMzHw9fWz\nSxtij99aGzwHjo3fWhv2it/A19dNVO9Rd5wDW7ch9vittcFz0HH8nqJbivfWuLi4tCjGtVotVCqV\nuajXarVQq9UWj3WkrKzjgqO7+fq6oaioivG7sY3OxPe9+v+CggqrP+F7e7vadRShq/GLi4tseqFb\nu2QqevXyNe8rLdXAIHGBQep6zfEBAEJ9TKm08VzZtA2xx2+lDZ4DB8dvpQ17xW9QVFQlrveoG86B\nzdsQe/xW2uA56Di+o7U1KNdjiveAgAAYDAbk5uaib9++AICMjAyEhITA09MTPj4+yMjIQK9evcyP\nBQcHd2fK1MPZ+0/VpaUlNh+laFn82q6N1uIDsOmFjoiIiOyrxxTvarUa06ZNw4YNG/Dyyy8jLS0N\ne/bswbvvvgsAuP322/HWW2/hzTffRHl5OT799FOsWLGim7Oma2HvuWn2Kq6b/gHN1qMUrWFxTURE\nRA16TPEOAC+99BLWrFmDyZMnQ6VSYcWKFRg2bBgA4IknnsArr7yCW2+9FRKJBAsXLsStt97azRnT\ntRDVqDLA4peIiIi6XbcW72PGjEF8fLx529PTExs3bmz1WKVSibVr12Lt2rWOSo8cgKPKRERERNbr\nUSPv1LPYe0knIiIiIuocFu/UJkdMayEiIiIi67F4p3ZxWgsRERFRz8E5DEREREREIsHinYiIiIhI\nJFi8ExERERGJBIt3IiIiIiKRYPFORERERCQSLN6JiIiIiESCxTsRERERkUiweCciIiIiEgkW70RE\nREREIsHinYiIiIhIJFi8ExERERGJBIt3IiIiIiKRYPFORERERCQSLN6JiIiIiESCxTsRERERkUiw\neCciIiIiEgkW70REREREIsHinYiIiIhIJFi8ExERERGJBIt3IiIiIiKRYPFORERERCQSLN6JiIiI\niESCxTsRERERkUiweCciIiIiEgkW70REREREIsHinYiIiIhIJOTdnQB1jSAIKC0tsfLYGpSWajo8\nztvbB1IpP88RERER9VSdKt7z8/ORlZWFkpISuLq6wsfHB0FBQXB1dbVXftSG0tISPP/fwzBIXGwS\nT26qxdolU9Grl69N4hERERGR7XVYvGs0Gmzbtg179uzB+fPnAQAmkwkSiQQAoFAoMGbMGCxatAg3\n33zzNSd06tQpvPzyy8jMzISvry+WLVuG2bNno6KiAqtWrcKJEyfg5uaGpUuX4u67777m9sTMIHGB\nQWqjD06CbcIQERERkf20W7wfOnQIq1evRklJCYYPH44lS5Zg8ODB8PT0RF1dHYqLi3H27Fn8+OOP\nWLx4MebPn48XXnihy8kYjUYsXboUa9aswZ/+9CckJCRg0aJFGDFiBNavXw+VSoW4uDikpqZi8eLF\niIyMRFhYWJfbIyIiIiISkzaL97179+Kpp57CyJEj8dFHHyE0NLTV4+6++24899xz+O9//4vNmzcj\nMDAQDzzwQJeSqaysRGlpKYxGo3l0X6FQQCaT4eDBg9i3bx+cnZ0RFRWFmJgY7NixA6tXr+5SW0RE\nREREYtNm8b5+/Xrceuut+Ne//mWeItMWJycn/PWvf4VKpcJ7773X5eLdy8sLCxYswN/+9jesWLEC\ngiDgH//4B8rKyiCXyzFgwADzsUFBQdi/f3+X2iEiIiIiEqM2i/etW7fC39+/w8K9qYceeggxMTFd\nTkYQBCiVSmzcuBHR0dGIi4vD8uXLsXnzZiiVSotjlUoltFpthzG9vFSQy2VdzslRfH3dOnW8INTY\nPAdvb1eLPGzdhtjjN7TR2s+2jC/m98hR50DMr8HR7xHPgePjN2/D3tciX1830b1HvFZ0f/zmbfAc\ndBy/p2izeO/Tp0+7T7x48SKysrIwYsQIeHt7m/f7+fl1OZn9+/cjMTERK1euBABMmTIFU6ZMwVtv\nvdWiUNdqtVCpVB3GLCuz/S+jrfn6uqGoqKpTz7Fm6cfOKi3VQCqtsthm/JZt+DX52R7xxfweOeoc\niPk1OPo94jlwfPzmbdgrfoOioirRvUe8VnR//OZt8Bx0HN/R2vrg0KVFvXfv3o3bb78dS5cuxcyZ\nM5GQkHBNyTXIy8uDTqez2CeXyxEREQGDwYDc3Fzz/oyMDISEhNikXSIiIiIiMehS8b5x40YsWbIE\n8fHxCA0NxSuvvGKTZMaPH4+UlBR89dVXMJlM+PXXX3HgwAHMmjUL06ZNw4YNG1BbW4vExETs2bMH\ns2fPtkm7RERERERi0GbxfuTIEVRUVLT6WH5+PkaPHg0PDw8MGzYMGRkZNklmyJAhePPNN/HJJ5/g\nxhtvxNq1a7Fu3TpERkbipZdegsFgwOTJk/HYY49hxYoVGDZsmE3aJSIiIiISgzbnvL/xxhvIycnB\n/fffj4ULF1rMa4+KisIbb7yBjIwMfP/994iIiLBZQtHR0YiOjm6x39PTExs3brRZO0REREREYtPm\nyPtnn32Ghx56CF988QWmTZuGdevWoaSkBED9MpKurq547bXX4OPjgxdffNFhCRMRERERXa/aHHlX\nqVSIjY3FokWLsHXrVnz44YfYunUr5s+fj8WLF+N///ufI/MkIiIiIrrutTnyrtPp8MEHH+Dtt9/G\nvHnz8OOPP+Lpp5/GwYMHMX36dKxbtw6lpaWOzJWIiIiI6LrW5sj7M888g0OHDkGhUCArKwtvvvkm\nFixYgHvuuQfbt2/H22+/jW3btmHevHl46KGHOlwXnoiIiIiIrk27q83cfffduPPOO3Hs2DHzfrlc\njgULFuDgwYNYunQpfvjhB8yfP98hyRIRERERXc/aHHn38/NDfn4+6urq4OXl1eJxpVKJhx9+GIsW\nLTJ/kZWIiIiIiOynzeL92WefxaOPPgqJRIL169e3GUChUMDf398uyRERERERUaM2i/fx48fj+PHj\nkMvlUCgUjsyJiIiIiIha0eac98TERMhksk4V7iaTCadPn7ZJYkREREREZKnN4v1vf/sbHn74YWi1\nWquD/fOf/8SyZctskhgREREREVlqs3h/+eWXkZiYiDlz5uDIkSMwmUxtBikpKcGqVauwZcsWrFix\nwi6JEhERERFd79qc8z527Fhs2bIFzzzzDGJjY9GrVy+MGTMGQ4YMgaenJ3Q6HUpLS5GYmIj4+HgI\ngoAnn3wSc+bMcWT+RERERETXjTaLdwCIjIzEt99+ix9++AG7d+/GgQMHsGfPHotjevXqhTvuuAP3\n338/hgwZYtdkiYiIiIiuZ+0W7wAglUpx22234bbbboNer0d+fj5KSkrg6uoKHx8feHt7OyJPIiIi\nIqLrXofFe1MKhQIDBgzAgAED7JUPERERERG1oc0vrBIRERERUc/C4p2IiIiISCRYvBMRERERiQSL\ndyIiIiIikbD6C6tHjhzBoUOHMHDgQDz00EP2zImIiIiIiFph9cj7E088gZ9//hnx8fH2zIeIiIiI\niNpg9ci7Wq3GU089hdtuu82e+RARERERURusHnmfMmUKdu7cac9ciIiIiIioHVYX7w888ADi4+Px\nwgsvIDc3FwUFBeb/tFqtPXMkIiIiIiJ0YtrMAw88AL1ej23btuGLL76weMzX1xdHjx61eXJERERE\nRNTI6uJ9/fr1yM/Pb/Uxf39/myVERERERESts7p4HzdunD3zICIiIiKiDlhdvANAXl4evvnmG2Rm\nZsLJyQlRUVG44447IJd3KgwREREREXWB1VX3wYMHsXz5cuh0Ovj7+8NoNGL79u14//338eGHH6JP\nnz72zJOIiIiI6Lpn9Woz69evh7+/P3788UccPnwYR48exaeffoqCggK8/PLL9syRiIiIiIjQieI9\nPz8fU6dORd++fc37Ro0ahdmzZyMuLs4uyRERERERUSOri/eQkBAkJCRAEASL/dXV1fDw8LB5YkRE\nREREZMnq4n3ZsmVITk7GggUL8O233yIuLg4bNmzAvn37EBMTY7OE8vPzsWTJEowcORKTJk3CJ598\nAgCoqKjA0qVLceONN2LKlCnYsWOHzdokIiIiIhIDq7+wGh0djXfeeQfr16/H008/bd4/a9YsPPbY\nYzZJxmQy4dFHH8WYMWOwadMmZGZm4v7778fQoUPx0UcfQaVSIS4uDqmpqVi8eDEiIyMRFhZmk7aJ\niIiIiHq6Tq3xOGnSJEyaNAl5eXkoKChAv3794Ovra7Nkzpw5g8LCQjz11FOQyWQIDQ3Ftm3b4Ozs\njIMHD2Lfvn1wdnZGVFQUYmJisGPHDqxevdpm7RMRERER9WRWT5t5//33kZaWBgDo06cPhg8fbtPC\nHQDOnTuH0NBQvPbaa5gwYQJmzpyJM2fOoKKiAnK5HAMGDDAfGxQUZM6HiIiIiOh6YPXI+xtvvIGa\nmhqEhobaLZmKigrEx8dj7NixOHz4MJKSkvDwww/j3XffhVKptDhWqVRCq9V2GNPLSwW5XGavlG3G\n19etU8cLQo3Nc/D2drXIw9ZtiD1+Qxut/WzL+GJ+jxx1DsT8Ghz9HvEcOD5+8zbsfS3y9XUT3XvE\na0X3x2/eBs9Bx/F7CquLd5VKhYqKClRUVKCurg51dXXQarUwGo3o378/1Gr1NSfj5OQEDw8PLFmy\nBAAwcuRIzJw5E2+++WaLQl2r1UKlUnUYs6zM9r+Mtubr64aioqpOPae0VGPzPEpLNZBKqyy2Gb9l\nG352ji/m98hR50DMr8HR7xHPgePjN2/DXvEbFBVVie494rWi++M3b4PnoOP4jtbWB4d2i/cHH3wQ\nv/76K4xGIwDg888/x+eff95KcF8cPXr0mpMMCgpCbW0tDAYD5PL61IxGI2644QYkJCQgNzfXvM58\nRkYGQkJCrrlNIiIiIiKxaLd4nzRpEvz8/GAymbBv3z6EhYVh7NixcHFxgbOzM1xcXGAwGODv72+T\nZCZMmAB3d3ds2LABy5cvR2JiIg4cOIAPP/wQV65cwYYNG/Dyyy8jLS0Ne/bswbvvvmuTdomIiIiI\nxKDd4v2BBx4w/3zw4EFER0dj8eLFdktGqVRiy5YtWLt2LcaPHw+1Wo3nnnsOw4cPx0svvYQ1a9Zg\n8uTJUKlUWLFiBYYNG2a3XIiIiIiIehqr57z7+/tjyJAh9swFABAQEIAPPvigxX5PT09s3LjR7u0T\nEREREfVUVhfve/bssWceRERERETUAavXec/Ozsby5cstVn0pKCjAggULkJuba5fkiIiIiIiokdXF\n+6ZNm3Dy5ElIpY1PcXNzw8WLF/nFUSIiIiIiB7C6eP/ll18wffp0ODk5mfepVCpER0fj4MGDdkmO\niIiIiIgaWV2819XVQaNpufi9Wq2GXq+3aVJERERERNSS1cX7HXfcgW+++QabN282F+u1tbX46aef\nEBYWZrcEiYiIiIiontWrzaxcuRJVVVXYuHEjtm3bhhtvvBHnzp1Dbm4uXnnlFXvmSERERERE6MTI\nu0KhwLp16/C///0PUVFRSE5ORu/evfGf//wHo0ePtmeORERERESEToy8Nxg/fjzGjx9vj1yIiIiI\niKgdVhfvxcXF+O233zBixAhIJBIYjUZkZ2dj586dSElJwe7du+2ZJxERERHRdc/q4n39+vUtCnST\nyQSJRILly5fbPDEiIiIiIrJkdfF+9OhRTJ48GXPnzoVOp4OHhwfc3NywZMkSi7XfiYiIiIjIPqwu\n3rVaLfz8/HDLLbdY7J80aRI+//xzLFy40ObJERERERFRI6tXm4mIiMCRI0dQU1Njsd/DwwNlZWU2\nT4yIiIiIiCxZXbzHxsaioKAAsbGxSE9Ph8FgwO+//469e/fyJk1ERERERA5g9bSZiRMnYvXq1Xj1\n1VcRExNj3u/u7o6///3vdkmOiIiIiIgadWqd9wULFiA6OhqHDx9GdXU1+vbti8mTJ0OtVtsrPyIi\nIiIiuqrN4j0hIQEhISHw9PQEAFRVVcHNzQ3+/v647777HJYgERERERHVa3PO++LFi7F161bz9uzZ\ns/Hpp586JCkiIiIiImqpzeLdzc0NiYmJ5u38/HyUlpY6JCkiIiIiImqpzWkzEyZMwK5du/Dqq6+a\n13avrq5GQUGB+RiJRAKFQgEPDw9IpVYvXENt0esgTbsAoVYDmEztHqrSaDDLuQSCpMomTUtNOqjO\nJQKurnZpQwzxBUhQIcjxq8ELOusXYiIi6vFcYUCUexmcFEZA0v6xUkEHw+VEVJY2Xk8NGg0m9iqB\nILXB9drO8R3RRmfjmwQJKrVOOFvjCWNHJ4CoA20W708//TTKysqwZcsWfPzxx5BIJNiyZQu2bNnS\n4liZTIZ169Zh1qxZdk32D+3EMVSmJqNCU432y/ZGI1xsm0LxuZZ/WbFlG2KILwUw1ZiPk/pe2Kvz\ns01iRETdRAITbu2bA0VwOfL6GaGxclxiJ5pdT5UA/mS7vOwd3xFtdDa+qw6Yk5mH7At+SKj0sV0i\ndN1ps3j38vLCO++8g+rqaly4cMG80syMGTPMx5hMJlRWVqKqqgpRUVEOSfiPqPbECeT+ngCDSeju\nVK57AgCZTI8x0nxUCAr8YvDu7pSIiLpsml8uyseXQOfU3ZlQnROQPVgHb+9cDP5ZgQu17t2dEolU\nh0tFqtVqjBw5Emq1GpGRkbjzzjsdkdd1pSo1lYV7D2OSmDBUUc7inYhESwIT3PtUoZyFe49S2suI\nIN9yXMhm8U5dY/U67++88w6CgoLsmcv1yWhETXFxd2dBregl1XZ3CkREXdZbokNtH17HeiJnD54X\n6jqri/dRo0bZM4/rlsSgh8Fg6O40qBUKq799QETU87hIjdA7d3cW1BqpnP0LdV2n7rBKdtLByjJX\nKirw8cmTuFRSgn4eHnjx6uo/zb0XHw8nmQyLrn7Q2pWUhIslJXhq8mSbp9wevdGI7WfO4ER2NjQ6\nHZ6fMQOBXl4OzcE2eHElIhGTmNq9ilVcqcDJj0+i5FIJPPp54JYXW+9b4t+Lh8xJhlGL6vuWpF1J\nKLlYgslPObZvMeqNOLP9DLJPZEOn0WHG8zPgFSjGvoW9C10brofXwwmCgNePHsWFoiKMGTgQMeHh\n5sfePHYMrx89at4uqK5GsUbT5vZvly9j6ddfo6C62q45705Oxnfnz8PfzQ1zIiLgr1bbLPbKvXtx\nNi/PZvGIiK5HgiDg6OtHUXShCAPHDER4TGPfcuzNYzj6emPfUl1QDU2xps3ty79dxtdLv0Z1gX37\nluTdyTj/3Xm4+bshYk4E1P6261v2rtyLvLPsW0gcOPLew2WVlyOvqgrLxo/H+MBAi8emBAfD1GTU\n3igIFuvtGwUBUknjerLBPj6YExEBbxcbrzHZTPzly4jq0wd/nzrV5rEvl5cjvaQEkX362Dw2EdH1\nojyrHFV5VRi/bDwCxwdaPBY8xbJvEYyWfYtgFCCRNvYtPsE+iJgTARdv+/Ytl+Mvo09UH0z9u+37\nlvLL5ShJL0GfSPYt1POxeO/hLpeXAwBG9u/f4rGoZgWsURAgb3KBNTTb9lapcMvgwXbKtJ5gMiG3\nogLTQkLs1oaxg2lGRETUvvLL9X1L/5Et+5Y+UZZ9i2AUIJU3Kd4NltsqbxUG32LfvsUkmFCRW4GQ\nafbrW0xG9i0kDp0q3v/5z39Co9EgODgYAwYMgLe3Nzw9Pc3/8S6rtpNSUIDXjhyB9uqXWR/cvh0S\n1I+2Lx4zBgCw9uBBTA0OxsSrqwAZBAGyJiPtRpPJong/fPEiTmRn45noaADAO8ePw9/dHUFeXvjk\n1ClodDrcN3w4Jg8aBADQGY3YlZSEuKwslNXWIsDTE0snTIBfG9NgVu7da/6w8VFCAj5KSICnUon1\nMTFQOznBZDJh/4UL2H/hAoo1GvT18MBdkZG48eoHE5PJhK/OnsUPqalQyGQY2a8f5g8bhlqDAau+\n/x4KmQwAsCclBbuSkhDu54dVV1/L71euYPuZM8itrEQ/Dw/8v3HjMMDTEwDw8sGDGBcYiDqDAYcu\nXkSRRoN7hw3DrWFh136iiIhEpCClAEdeOwKDtr5v2f7gdkBSP9o+ZnF933Jw7UEETw1G0MT6vkUw\nCJDIGvsWk9FkUbxfPHwR2SeyEf1M/fX4+DvH4e7vDq8gL5z65BR0Gh2G3zccgybX9y1GnRFJu5KQ\nFZeF2rJaeAZ4YsLSCVD7td637F251/xhI+GjBCR8lAClpxIx62PgpK7vWy7sv4AL+y9AU6yBR18P\nRN4Vif43NvYtZ786i9QfUiFTyNBvZD8Mmz8MhloDvl/1PWSK+r4lZU8KknYlwS/cD9Gr6l/Lld+v\n4Mz2M6jMrYRHPw+M+3/j4Dmgvm85+PJBBI4LhKHOgIuHLkJTpMGwe4ch7Fb2LWRfVlfbO3bswJYt\nW/D9999j3bp1+Otf/4r7778fs2bNwoQJEzBs2DDce++92Ldvn00SKy4uxrhx43D48GEAQE5ODhYt\nWoQRI0Zg5syZ5v1/VH3d3TErPBxhvr5wkctxR0QE5kREYOzAgeZjssrKUNRk/roJsJgmYzKZIGmy\nnV1ejvyqxts251dXIy4zE/86ehTeLi7wV6ux5eRJCIIAwWTChiNHsOvcOfRxc8P0kBAIJhNW7NmD\nvMrKVnOeOXiweWR/QmAg7oiIwKzwcKjk9Z8RP0pIwMcnT8JFoUB0SAg0Oh2+TkoyP//b5GTsTErC\nsL59Map/fyTk5OBQejp8XFzwfyNH4pbQUDjLZOjj5oZZ4eGYERoKALhQVITXjx6Fk1yO6JAQFNfU\n4M1jx8xxCzUafJyQgH2pqZg5eDBu6N0bp65c6cppISISNfe+7gifFQ7fMF/IXeSIuCMCEXMiMHBs\nY99SllWG6qIm89dNsJgm07xvKc8uR1V+Y99SnV+NzLhMHP3XUbh4u0Dtr8bJLfV9i0kw4ciGIzi3\n6xzc+rghZHoITIIJe1bsQWVe633L4JmDzSP7gRMCEXFHBMJnhUOuqu9bEj5KwMmPT0LhokBIdAh0\nGh2Svm7sW5K/TUbSziT0HdYX/Uf1R05CDtIPpcPFxwUj/28kQm8JhcxZBrc+bgifFY7QGfV9S9GF\nIhx9/SjkTnKERIegprgGx95s7Fs0hRokfJyA1H2pGDxzMHrf0BtXTrFvIfuzeuR98+bNmDFjBjZu\n3IiSkhKcPn0aGzduhMFgwCOPPILc3Fx89913eOKJJ7B+/XrMnj37mhJ79tlnUX51FBcAHn/8cYwf\nPx7vv/8+4uLi8OSTT+LgwYPw9v5j3kTHw8UF8yIjYTKZUFhdjXuGDWtxjNZggFKhMG8LggBZsznv\nTbe1BgNcmh2fU1GBGaGh+MtNN+FkTg42HD2Kyro6pBQW4mx+PpaOH48JV+fan8nNxbqffoLOaGw1\n5+iQEBRVV2P/hQuYNGgQIv39zY+lFhXhQFoabgsLw/0jRkAikaCwutqcT1VdHXadO2fOBQDuGzEC\nTjIZ5FIppgQHAwAOXbyI8N69ce/w4ebYOxITEeTtjTXTp0MqleIGPz/8++efcam0FIOu/n64Ozvj\npZkz4a5UokKrRWlNjXUngojoD8TFwwWR8+r7lurCagy7p2XfYtAaoFBa9hVSmeWc96bbBq0BChfL\n4ytyKhA6IxQ3/eUm5JzMwdENR1FXWYfClELkn83H+KXjETghEACQeyYXP637CUZd631LSHQIqouq\ncWH/BQyaNAj+kY19S1FqEdIOpCHstjCMuL++b6kurDbnU1dVh3O7zplzAYAR942AzEkGqVyK4Cn1\nfcvFQxfRO7w3ht/b2Lck7kiEd5A3pq+p71v8bvDDz//+GaWXSuE9qL5vcXZ3xsyXZkLproS2Qoua\nUvYtZH9Wj7yXlJSgd+/eAAAfHx9MmzYNn3/+OXQ6HQ4fPoxHH30UX331FYKDg/Hxxx9fU1Jbt26F\ni4sL+lyd052eno4LFy5g6dKlUCgUmDx5MkaPHo1du3ZdUztiVmcwwGQyQSlv/PzVfI67QRCgaFa8\nNz1eo9PBU6nE/SNGAACcrj7P7ObDAAAgAElEQVSmNxrx+5UrCPDyMhfuQP3qNRIA/m5unc73ZE4O\n1E5OuG/4cPOIjV4QzD/HZWZCEATMjYw0P0elUFi8HgBQyGQWHx6MgoDzhYWYGhxsnrYV7udXn2+T\nvzLcHBQEd6USAHBXVBQeGTu206+BiOiPzlBX37fIlY19RfM57oJBgFRhWbw3PV6n0UHpqcSI++v7\nFrlT/WNGvRFXfr8CrwAvc+EO1K9eAwng5t/5viXnZA6c1E4Yfl9j3yLoG/uWzLj6viVybmPfolAp\nLF4PAMgUMosPD4JRQOH5QgRPbexb/MLr+5aqgsa+JejmICjd6/uWqLuiMPYR9i1kf1YX7wEBATh7\n9qzFPrVajalTp+Lo1eUKlUolJk6ciMzMzC4nlJmZiQ8//BAvvPCCed+lS5fQr18/KK8WXwAQFBSE\ntLS0LrcjdkZBAACLkXWd0Qinq/PCgfoiXNFku/lIfFVdHcYFBJiLdnnDhc9kQoVW22Ju+6XSUni6\nuMBZ3vnvOdfq9fBVqy3aVzs5Qbj65dPcykr0dXeHR5Nz3BonmQz6JsW7RqeD0WQyF+ZNX0fT1950\nOhEREbVOMNb3LU1H1o06I2ROTfoSvdE8T7zhOU2Pr6uqQ8C4AHPRLpHXX39NggnaCm2Lue2ll0rh\n4ukCuXPn+xZ9rR5qX7VF+05qJ5iE+r6lMrcS7n3dofRov2+ROclg1Df2LTqNDiajyVyYN30dTV97\n0+lERI5i9b+UuXPn4tVXX8W7776LRx55BABgMBhw+vRpDBgwwHycXq+HVtu12/4aDAasWLECzz77\nLDyvftkQAGpqauDSbHlDpVJpVTteXirI5bIOj+s2WgXKOzqmlcKzYVSh6XJedQaDRcGqNRjg02Rb\nIpFYHF+r16N3kwLd1ckJAFBWWwsflQppJSXmx7LKynA8K6vDUfeG6M0z9lGpEJeVhVq93jxVRqlQ\n4EpFhbntwupqlNfWwvPqua7UaiGVSKB2brxFYPORd3elEiqFAskFBeYvvibk5EAikSCgye+QrXh7\nu7b6sy3j+/o2vseCYNs/wYo9viPaEHv85m3wHDg+fvM27BW/ga+vW5fakLS4UrfetxjqDBYFq0Fr\ngMyn7b5FX6uHundj3+LkWt+31JbVQuWjQklaY99SllWGrONZHY+6t9G5qHxUyIrLgr5Wb54qo1Aq\nUHGlwtx2dWE1astr4eJZ37doK7WQSCVwVjf2Lc1H3pXuSihUChQkF5i/+JqTUN+3eAbYvm9pzR/l\n91TM/5abx+8prC7eFy5ciFOnTuH111/Hli1bMHDgQGRlZaGkpARvvfWW+biCggL4+vp2KZm3334b\n4eHhmNzsjqAuLi4tCnWtVguVStVhzLKynj3/TFLX/geQGr3eYgWZBg3TSQxXR+CB+mko7S0VKZdK\nLY6Xy2TmkW+gfilJACisrsbEoCD8dOkSXjl0CH5qNeIyM9FLpYL6aoHfXr6A5V8EAGDMwIH48uxZ\nvHjgACL8/JBTUYGz+fmQSCQoqanB5OBg/JCailU//ICb+vdHjV6PhJwc3BwYiIdGj7aI1XypyFsG\nD8Y3586hQquFXCZDXGYmJgQEwNeGN4dqUFqqgV+Tn+0RXyqtsthmfMe2Ifb4zdvgOXB8/OZt2Ct+\ng6Kiqk63oa/RW6wg06BhOolgaOwrBH37S0VK5VKL42VymXnkG6hfShIAqgurETQxCJd+uoRDrxyC\n2k+NzLhMqHqp4KRuv2/R19T3LU1H2AFg4JiBOPvlWRx48QD8IvxQkVOB/LP1fUtNSQ2CJwcj9YdU\n/LDqB/S/qT/0NXrkJOQg8OZAjH7Ism9pvlTk4FsG49w356Ct0EImlyEzLhMBEwKg9rV939KaP8rv\nqZj/LTeP72htfXCwetqMVCrFm2++ibfeegvjx4+HUqnE1KlTsW3bNkyfPt183E033YRHH320S0nu\n3bsX3333HUaNGoVRo0YhNzcXf/vb35CRkYErV65Ap9OZj83IyECIHdcS7ylq9Hq4NRl5biCXStHP\nwwO+ro2jL71dXdHX3d283cvVFf08PMzb/T08LEbOQ3x8zKPtAKB2dsYADw+onJwQ7ueH2LFjUazR\nIC4zE7eFh2Owr6/F8a2pvXqOmufcx90dT06cCIlEgsPp6RBMJjw9ZQoCPD2RU14OP7UaL9xyCwI8\nPRGXlYVzBQWIDg7G/GZf1PVxdUWgl+XtsOdGRmL2DTcgubAQv12+jJuDgvBgk4K/t6urXQp5IiKx\n0tfo4ezWsm+RyqXw6OcBV9/GvsW1tyvc+zb2La69XOHRr7Fv8ejvYTFy7hPiYx5tBwBntTM8BnjA\nSeUEv3A/jI0dC02xBplxmQi/LRy+g30tjm+Nrra+b2mes3sfd0x8sr5vST+cDpNgwpSnp8AzwBPl\nOeVQ+6lxywu3wDPAE1lxWSg4V4Dg6GAMm2/Zt7j6uMIr0LJviZwbiRtm34DC5EJc/u0ygm4OwugH\nG/sW196uDivkiZrq9ASzGTNmYMaMGQDqp7lkZWUhOzsbA68uYbhw4cIuJ/PDDz9YbEdHR2P16tWY\nOnUq9u3bhzfeeANPPPEEjh8/jvj4eKxZs6bLbYnFjNBQ82h2UxKJBK/NmmWxb12z7aenTLHYvnPo\nUIvtZ6dNaxG3aYxJgwZh0tU13wHghQMH0L/Jh4HWBHl744FRo9CvyYeIBjf272+e2tJgeN++5p8H\nenpiZQd3ZX1y4sQW++RSKe4dPtxiBZqmnmvy4ZKIiIDQGaHm0eymJBIJZr1m2ZfMWme5PeXpKRbb\nQ++07FumPduyb2kaY9CkQRg0qbFvOfDCAXj0b79v8Q7yxqgHRsG9X8u+pf+N/c1TWxr0Hd7Yt3gO\n9MTUle33LROfbNm3SOVSDL93uMUKNE1Nf459C3UPq4v39PR0bNiwAVlZWdBqtTAajSguLobRaISX\nlxfi4uLsmSfeeustPP/88xg3bhx69eqF119/3bwazR9ZsI9Pd6cAoH6N+IvFxZh09YZQbVEqFHa/\niysREV0bn+Ce0beUZ5ej+GIxgia137colAq738WVSCysLt6feOIJFBUVYdKkSXBxcYFCoYC7uzv8\n/f0RFRVll+QOHTpk/rlfv3744IMP7NIOtbT3/HlcKCqCt0oFk8mEuKwsqJ2dLW4SRURE1Bnn955H\n0YUiqLzr+5asuCw4q50tbhJFRO2zunjPy8vDbbfdhrVr19ozH+ohlHI5LpaUoCInByonJ4T4+GD+\n8OFQdTDnnYiIqC1ypRwlF0uQU5EDJ5UTfEJ8MHz+cDip2LcQWcvq4v3222/H7t27sXDhwuvii6LX\nu+iQEETzPBMRkQ2FRIcgJJp9C9G1sLp4f/zxx5GYmIj58+fjr3/9K+666y6ouYJHmwRBQGlpSYfH\nSXU6SJotfUhERERE1Bqri/c5c+YgPz8fAPDqq6/itddeg4+PDwRBgJeXF3bv3m23JMWotLQEz//3\nMAwSl3aPU0mMWOFm6MSinURERER0vbK6eF+3bh1yc3NhMBhQWVmJ0tJSVFZWQqlUYsSIEfbMUbQM\nEhcYpO3fhdMIA1rej1Tc8ior8d/4eGSXlSHS3x+x48bBRaFAWW0t1h44gFXTplmsT09EROJTkFyA\nE++cwJglY+Af4d/d6QAAKvMqEf/feJRll8E/0h/jYsdB4aJAbVktDqw9gGmrplmsYU8kRlYX72PG\njLFnHmRjNTod9qSkID47GyU1NfBxdcWfhgzB9JAQ8+2vAeBkTg6+OnsWeZWVcFcqMT00FLNvuKHV\nmLuTk7H19Ok225wyaBAeGTsW/42Ph8FoRHRICI5lZuLAhQu4PSICe5KTIZfJ4GPFnXGJiKjnSv0h\nFac+OwWT0dTizqQGrQGJXyYi63gWdNU6eAzwQNTdUeg7rK/FcWkH0pC6LxXVRdVQeasw+JbBCLs1\nrN12O3pO/H/jYTQYERIdgsxjmbhw4AIibo9A8p5kyOQyqHzY/5D4tTtZ4/Tp06iurnZULmQjgsmE\ndT/9hO/On0eAlxemhYTAWSbDh7/9hi/OnDEfd66gAK///DOc5HJMDw1FX3d3bD19Ggk5Oa3GjerT\nB3dERLT4z1OphItcjplDhgCov2mSQRAgAaCQSlGl00Gj0+Gn9HTMCguDVPLH+ksDEdH1RDAISNqV\nhAE3DQAASKSN13RBEPDTv35C6r5U+A7xxaApg6DT6HDkX0dQmFJoPu7M9jP47cPfoPRUInR6KJQe\nSpzacgrndp1rs11rniOVSyEYBEACSBVS6Kp00Gl0SP8pHWGzwixyJRKrdkfely1bhtjYWPz5z3/G\nPffcg0uXLsHV1RVqtRpOTk4QBAF6vR6DBg3Cpk2bHJUzdeBCURHSiouxcsoUDLt6B1PBZMK78fH4\nLiUFs8LD4ebsjJ/S0zHQwwNrpk+HRCKByWTCk7t3I6WgAKOa3QkVAAK8vBDgZXn76B8vXkSFVosn\nJ00yP/bnESOw+fhxHExLQ1jv3pgdHo4f09LgLJdjQmCg3V8/ERHZj1QuxdzNc1GZW4nsE9mQyBoL\n4ktHLqEwuRCTn5qMfiP7AQD0tXrse24fzmw/gxlrZqAytxLJ3yYjbFYYRt4/EgBgMplw/O3jOLf7\nHEKnh8JJbbl0pLXPGfHnETi++TjSDqahd1hvhM8OR9qPaZA7yxE4IdAxbxCRnbVbvK9evRrDr95y\nft68eUhNTYVGo0F1dTV0Oh2kUikUCgWGXB1xJcdIyMnBp6dO4V8xMZBLW/7xpLSmBgAQ5O1t3ieV\nSPCnwYNx9NIl5FVWws3XFzqDAc7yxl+BWoMBOqMRcpnMqjxKamrw6alTmB4aalHsB3p7Y92sxlth\nG4xG7LtwATOHDIHCythEROQYhecLkX82H6YmK5+5+rgiZFrbSzpKJBLoa/QAAIWLwrw/42gG/CP9\nzYV7w+PB0cH4/bPfUVdVh4xjGZAr5YiaF2URL+zWMGT+kon85HwMHG150yZrn+Md6I1Z6xr7H6PB\niAv7LmDIzCGQKdj/0B9Du8X7zJkzzT/Pnz/f7slQx1KLirDpl18wesCAVgt3AOjv4QEA+PTUKcyL\nioKXUoms8nLsSUkBALhevdHSzCFD8Orhw1j1ww8I8fHBqStX4O3igj8Ntu4W1DvOnIFCJsM9w4a1\ne1xcVhZq9XpMDw219mUSEZGDZPycgfTD6Rb71L3V7RbvAKCr0QEAnF2dzfvKsssQcXtEi2Pd/NwA\nANVF1SjPLodPsA/kSssSRO1fv/y0plDT4vldeQ4AZMVlQV+rR+h09j/0x2H1F1ap+53Nz8cbP/+M\n8N698cjYsW0eN9DLC/MiI/F1UhKOZWaa98ulUihkMvNKL35qNfq4uWGovz9mhIbC19UVv2RloVyr\nhVcHXyotqq7GscxMzB061PxhoDUmkwnfpaQgOiTEfJzJZLL40iwREXWfMYvHYMzizi9K0TDy7uTa\n2AcIeqHFlBegfv45AJgEE4x6I5zVzi2Okcll5mOa68pzTCYTUr5LQUh0iDlH9j/0R9Bm8b5x40bk\n5ORALpdDoVBAJpNBJpNBoVDAyckJSqUSSqUSTk5OCA4Oxth2ikm6dimFhXj10CF4KJV4YuLENkfd\nG8yLjMTNgYFIzMtDndGIQC8vbPrlF4T26gWnq1Nl3jlxAuF+frj/6lKft0dEwCAI2HDkCN64/fZ2\np8/sv3ABTjIZbulgytTJK1eQV1WFlVOnIq24GJuPH0exRoMIPz8sGTsWni7tr4NPREQ9k6HOAACQ\nKRv7CqW7EroqXYtjtRVaAICz2hlKD6V5u7VjnNxaFv9dec6Vk1dQlVeFqSunojitGMc3H4emWAO/\nCD+MXTIWLp7sf0ic2izeExISkJmZCYPBYP5PEAQYjUYYDAaLY3v16oVjx47ZPdnrWbCPD2LCw7En\nJQXbTp/GolGjOnyOn5sbZrjV/6nyvfh4VNbVIebqMpBavR7nCgpwS7MpMoN8fPDl2bO4UlnZ4sup\nDbQGAw6np2NqcDDU7Yy6A8DXSUmYGBQEb5UKLx44gKH+/hjVvz92p6Tgo4QEPDFxojUvn4iI7KQi\npwKXEy7DqDOa93kO9ETA2IB2nyeV1w8iCQYBUqf6n9X+apRktLy7eNH5Isid5XDt7Qo3PzfkncmD\nSTBZrP5SmFq/Go1nf88Wz+/Kc5K+TkLQxCCovFU48OIB+A/1R/9R/ZGyOwUJHyVg4hPsf0ic2ize\nt2zZ0uaTBEFATU0NamtrodPp4O7ubpfkqJGTTIb7RoxAH3d3vBsfDw+lEncMHdrh86p1Omz9/Xcc\nTk/HLYMHY4ivLwCg7uoHsIslJbhpwADz8WnFxQBg8cWl5n6+dAk1ej2mBAe32/aZ3FxklpVh2fjx\nqNRqUaTR4NawMPT38EBeVRWOXrrUYf5ERGRf2b9m4+yXZy32+d3g127xbtQZzdNPqvOr4Tmwvnge\nOHogTm05hfKccnNBXZlXiczjmeg3oh+kUikGjBmAs1+dRfpP6QiJrp9Xb6gzIOW7FLh4usA72LtF\ne519Tu6ZXJRllmH8svHQVmqhKdIg7NYwePT3QFVeFS4dZf9D4tWlOe9SqRRqtRpqtdrW+VAHpgQH\nQ6PTISEnp93iPae8HN+npuJEVhZ0goA5ERG4J6rxW/oeLi4Y5O2N3cnJuFxejn7u7sirqsLvV64g\nwMsLA6+Ouifm5aFGr8fYgY3f/D+QloZB3t4Y4NlypKOpvefPY1S/fujj7g7BZILa2RnvxccjtFcv\nHMvMxISA9kd1iIjI/iLnRiJybqTVx+tr9Ph66dfmaTN7/74XQ+cORdRdUQiaGISU71Jw4IUDCBgX\nAIlEgqwTWQCAoXPr+yzP/p4YMHoAfvvgN+Qn5UPlrULu77mozKvE2CVjIb06LTTreBac1E7oE9nH\n6uc0OL/3PPqN6gf3Pu4wCSY4q50R/148eoX2QuaxTARMYP9D4tVm8Z6Wlobi4mLzPPemc96dnZ2h\nVCrh7OwMZ2dnuHDeskPNCg/HrPDwdo/5OTMTZ/LyMD00FLcMHgwf15a3g14xZQq+TEzE77m5OJef\nD08XF9wyeDDuHDrUfCOlA2lpKNFozMW73miERqfDvaNHd5hnSU0NYq9+F0IqkeCxCRPwYUICDqen\nY0TfvriryYcJIiISB4VKganPTIW+Vm/e5xPsU/+YiwLTn5+OU1tOIet4FgSjAJ9gHwy/d7jF1Jbx\nj47HmR1nkPVLFuqq6+DWxw1jY8di0KRB5mOSv02Ga29X9InsY/VzGtSU1GBsbH3/I5FKMOGxCUj4\nMAHph9PRd0RfRN3F/ofEq83ifeHChSgvL7cqSGBgIL7//nubJUXX7r7hw3Hf1TX62+KhVOKhDorw\n5ZMmWWwrZDL85847rcrhXzExFttD/f2xodk+IiISH9/Bvm0+5urj2uF8cpmTDCPvH2m+4VJrbv3n\nrZ1+ToOYf1n2Nf5D/RGzgf0P/TG0Wbx/+umnyM/Ph8FggF6vt/jCal1dHWpra81z3vv06ePInImI\niIiIrkttFu/BwcEI7uALiUR/bFwLmIjEy2SSQNL22gPUjXhe6Fq0u1h4bW2to/K4btVCBqOJRWJP\npGv/nwcRUY+mEeRwqmX/0hMZDexfqOvaXW1mzpw5WLJkCebNm4d169YhKysLrq6uUKvVcHJygiAI\n0Ov1CAwMxAMPPOCglP9YBEhQKLigt6yqu1OhZgqN/CI2EYlXsUkBp3wXoFdNd6dCzdSVKbs7BRKx\ndov3adOmYfDVm/gUFhYiOzsbGo0G1dXV0Ol0kEqlUCgUCA8PZ/F+DRL1npgur+bf0XoQkyDDSX3r\nN6kiIhIHCYqvuEMVVIOalguOUTfpnSPHuSL2L9R17RbvK1euNP+8YcMGuydzvTpm8IGzVsAopxKo\npVoIEoBlvONJAEhNQKXRBXG6Xvjd6NHdKRERXZNjJf6Y/IsJAwPKUTqwDjXOgMCZNA4nEwDPCglc\nclxw/pIfsnS8Tw51XbvFe3l5Oerq6uDn5+eofK5bP+p9cUjfC6FSDfyldZA1Kd+lqMOdEwdB7eZm\n3lddVYWvf74EAc42ad/ebYghvgES5AouSBdcwC+rEtEfxZHiPpAW+yP0bDW8FDrIOvgrr9RUhzsn\nDYKbuvF6WlVdha+PXoIgscH12s7xHdFGZ+MbTFKc1bogl9MxyQbaLd7feustVFZW4rXXXkNCQgIG\nDRoEb++Wty0m2zBBgguCGhcEy0/kckGDmcGDoerVuK5uTXERjvxYCoPUNn8LtXcbYo9PRCRmAiRI\n1bkBuo6PlQsazOk3GIom11OhuAjxVba7XtszviPacMRrIGpLu193PnnyJFyv3pnz6aefxhdffOGQ\npIiIiIiIqKV2i/fLly9Dra4fBa6srIROZ8VHdiIiIiIisot2i3eNRgOZTAYA0Gq1DkmIiIiIiIha\n127xLpFIzKPtrq6uqKriWuRERERERN2l3eLd3d3dXLAHBwcjMzPTETkREREREVEr2l1tRiaT4Ztv\nvsH+/ftRU1MDqVSKmTNntjguNDQUmzZtsluSRERERETUQfH+wAMPICMjo8MgAwYMsFlCRERERETU\nunaL90ceecRReZglJCRg3bp1uHTpEry8vPDwww/j3nvvRUVFBVatWoUTJ07Azc0NS5cuxd133+3w\n/IiIiIiIuku7xbujVVRU4NFHH8Vzzz2HmJgYpKSk4C9/+QsGDhyIbdu2QaVSIS4uDqmpqVi8eDEi\nIyMRFhbW3WkTERERETlEu19YdbTc3FxMnjwZt99+O6RSKSIiIjBmzBicOnUKBw8exGOPPQZnZ2dE\nRUUhJiYGO3bs6O6UiYiIiIgcpkeNvIeHh+O1114zb1dUVCAhIQFDhgyBXC63mFsfFBSE/fv3dxjT\ny0sFuVxml3zbIwg1No3n7e0KX183u8V3RBtij9/QRms/2zK+mN8j/p52f/zmbfAcOD5+8zbsfS3y\n9XUT3XvEa0X3x2/eBs9Bx/F7ih5VvDdVVVWF2NhY8+j7J598YvG4Uqm06sZRZWW2/2W0Rmmpxubx\npNIqi21bs3cbYo/fENPPzvHF/B7x97T74zdvg+fA8fGbt2Gv+A2KiqpE9x7xWtH98Zu3wXPQcXxH\na+uDQ4+aNtPg8uXLuPfee+Hh4YFNmzZBpVK1KNS1Wi1UKlU3ZUhERERE5Hg9rng/d+4c7rnnHtx8\n8814++23oVQqERAQAIPBgNzcXPNxGRkZCAkJ6cZMiYiIiIgcq0cV78XFxXj44Yfxl7/8Bc888wyk\n0vr01Go1pk2bhg0bNqC2thaJiYnYs2cPZs+e3c0ZExERERE5To+a8/7ll1+itLQUmzdvxubNm837\nFy5ciJdeeglr1qzB5MmToVKpsGLFCgwbNqwbsyUiIiIicqweVbzHxsYiNja2zcc3btzowGyIiIiI\niHqWHjVthoiIiIiI2sbinYiIiIhIJFi8ExERERGJBIt3IiIiIiKRYPFORERERCQSLN6JiIiIiESC\nxTsRERERkUiweCciIiIiEgkW70REREREIsHinYiIiIhIJFi8ExERERGJBIt3IiIiIiKRYPFORERE\nRCQSLN6JiIiIiESCxTsRERERkUiweCciIiIiEgkW70REREREIsHinYiIiIhIJFi8ExERERGJBIt3\nIiIiIiKRYPFORERERCQSLN6JiIiIiESCxTsRERERkUiweCciIiIiEgkW70REREREIsHinYiIiIhI\nJFi8ExERERGJBIt3IiIiIiKRYPFORERERCQSLN6JiIiIiESCxTsRERERkUiIqnhPTk7GXXfdheHD\nh2POnDk4ffp0d6dEREREROQwoine6+rqEBsbi7lz5+K3337D//3f/2HZsmXQ6XTdnRoRERERkUOI\npng/ceIEpFIpFixYAIVCgbvuugteXl44fPhwd6dGREREROQQ8u5OwFoZGRkIDg622BcUFIS0tDTM\nnDmzm7Jqn9xUCwg2imPH+I5oQ+zx22qD58Bx8R3Rhtjjt9UGz4Hj4rfVBs+B4+I7og2xx2+rDZ6D\njuP3BBKTyWTq7iSs8fbbbyM5ORmbNm0y73v66afRu3dvPPXUU92YGRERERGRY4hm2oyLiwu0Wq3F\nPq1WC5VK1U0ZERERERE5lmiK90GDBiEjI8NiX0ZGBkJCQropIyIiIiIixxJN8T5u3DjodDps2bIF\ner0eX375JYqLi3HzzTd3d2pERERERA4hmjnvAHD+/Hm88MILSE1NRUBAAF544QUMHz68u9MiIiIi\nInIIURXvRERERETXM9FMmyEiIiIiut6xeCciIiIiEgkW70RERETt4AzjRo54LwTBRneKasUf4Vyy\neL9O2fKXV6fToba21uZxybZ4bhxLEAS+51YQBKFFR22r9621ONdaFFwv59Ser9OWhZnJZHLIOZFI\nJHZvoysc9fqbav5emEwmmxfbUmnL8tRWr7OnnsvOYPHew9nrH6Utfnkb/rH++uuv2LRpE3Jzc81x\n7fmp+Y+iuy+4PUXD78rp06exevVq/PbbbzAYDADq3yOj0did6XVaw+uRSqU99j3vDI1Ggx07duCr\nr76yS3ypVNqio7bV+9ZanNaKgmuNaW+5ubnIzc11SFsNN0OUSCR2u443nIOuXgMbnldTUwOJRAKJ\nRGLXIra8vBzp6enm7bq6uhY3jeyKhvc3OTkZ77zzDpKTkzsdo+H1O8rp06fx3nvvISsryyKHa/13\n1dQrr7yC5cuXQ6PRAGh8n2zxOpOSknDs2DFzHyNWLN57CEEQcPr0aWzatAnl5eUAgMuXL+Prr7++\nprharRa///47rly5AgDQ6/X46aefcP78+WvOueEfa11dHb755hvcfffd2Llzp8Vj9lBeXo7jx4+j\npqYGAFBVVYV9+/aZ/6GLQUFBAb7++mvk5eUBAKqrq7Fjxw6UlZVdc2yTyYTc3FxkZ2ebtzMyMvDr\nr79ec+yGeABQWVmJb2EdWuwAACAASURBVL75Bt9++635sX379uHYsWOditf0d+XMmTN4/PHHsXz5\ncsTHx0MikUAmk9ks58LCQvz44484duwYsrOzUV1djdLSUpSWll5zodLwIWPHjh2YO3cuHn/8cVy+\nfPmac2+vvfPnzyMxMRFA/WtMSkrCoUOHbBK/6Yfz1atX4+zZswDqr0ufffYZPvvsMxQXF19TG+fP\nn8frr7+OlJQUAEBpaSn+/e9/o7q6ussxG851WVkZPv/8c7z77rvmeDt37sR//vOfTsds6OgvXryI\nkydPdjm3zmh4HXl5eVi+fDk2bdpkfsxoNOLy5ct2Ka4XLVqEESNGoKCgAFKpFCUlJcjJybFJsVNb\nW4s77rgDMTEx0Ol0kEgkKCsrQ2VlZZfiPfroo7jvvvuQlJRk8yK24b09efIknn/+eaxZswZJSUkA\ngDfeeAPLli275oGFhnP83nvv4ZNPPkFVVRUAID09HTt37sSBAwfaPMfV1dXYvn07Dh06hIsXL6Ky\nstIhAx0fffQRNmzYYP43m5iYiE2bNuGLL76wSR98+fJl7Ny5E3K5HK6ursjLy8P777+PlStX4rvv\nvrum2KWlpXj88cfx6aefQi6XQxAEFBcXIyEh4ZquOd1B3t0JXO8EQYBUKkV8fDxeeeUVlJaWoqKi\nAs8++yzOnDmDl19+GYMHD8bQoUM7FddoNEImk2Hr1q14//33YTAY8PHHHyMsLAy7du2Ch4cHXnzx\nxWvO32QyYdq0aQgPD8c//vEPPP/88/j5558RGxuLIUOGXHP85gRBwPPPP49Dhw5h5MiR+OSTT2Ay\nmfDcc/+fvfMMj7La3v5vUob0HkIaSUglCSFACDV0Q+8oIr0ICAiIIgdRBBRE8KAgTUQ6KL0K0iEQ\nQEhCEnp6L5OeTNpkMvN+4Hqef/BYyMx49Fyv98eU/ey69tqr3OtDVq9eTe/evTVuW3gUtGrVChcX\nF2pqarhy5QqhoaHY2dnpbAz19fUsWrSIJ0+e0KxZM06cOIFKpWLlypUYGBgwfPhwjdoV9tKDBw9Y\ntWoVsbGxfPLJJ7z66qvExcWxe/du9u7di5mZmVb9V6lU6Ovrs2nTJq5fv05WVhaWlpZ0796dH3/8\nkZKSEoKDgxv1HbVaTXBwMKdOneLGjRv88MMPzJs3j+DgYObPn4+fn59WfRbw2WefcevWLaqrq6mr\nq8PY2BgLCwu8vb1ZtWoV9vb2GrctKA47duzAy8uLoKAgTE1NddLvhhDO9p07d/j8889JSEgQ1/nh\nw4ccOnSIkJAQLCwstPqOMB61Wk2PHj0YPXo02dnZLF68mNjYWFQqFWfOnGHDhg0azVtZWRmffPIJ\naWlpPH78mO3btwNw+vRpvL29GTRokEb9Fvbn0aNHOXr0KGlpaRgZGTFhwgTKyso4f/48w4YNw9nZ\n+aXbNDB4flX+8MMPPHjwgF27dmFsbIxSqRSVxj/LYJGQkEBCQgL9+vUD4OTJk3zzzTfo6+szcuRI\nJk6cqDOltbi4mNLSUiZNmoSDgwP3799n06ZN5Obm0rp1az755BONHtNqtRqJREJ6ejolJSWMGTMG\nqVTK3bt32bFjB7m5ubzyyivMmTPnpdoTxjtv3jwWL17MrFmzmDx5MiNGjMDS0rLR/fs1CPL0wIED\nlJWVkZuby/Xr1wkMDMTPz49bt27x6NEjgoKCNP6GMJdGRkaEhYURHBzM7du3mT17Nk2aNEGlUlFa\nWsrIkSP/Y3/l5ORw4sQJysvLsba2pkWLFvj7++Pp6YmLiwtmZmYvtK+rPWJubs748ePp168fly9f\nZunSpdja2iKXyzEwMGDkyJFatV9bW0ubNm3o27cv5eXlLF26lFu3buHv78+DBw+ws7OjQ4cOGrWd\nl5eHgYGBWNzzwIEDrF69GqlUSteuXVm2bBk2NjZa9f+/hX8s738xhFf1lStXsLGxYdSoURQXF1Nb\nW0vr1q3x8fHh559/fuFvXwbCQd+1axdjxoyhefPmorXd39+fmJgYsrKytO6/RCKhrq4OJycnvv76\na9atW0d2djZfffUVt2/fFq01uoozTUhI4O7duyxYsICamhoyMzMxMjKiU6dOL1iANcHSpUtZsWIF\n06ZNEwXR8uXLOXPmjFbtCmg4hidPnrBgwQIsLCx49uwZpqamDBw4kHPnzmncvjDHR48excLCgvDw\ncNFa6uDgQE1NDVevXn2hL5pAuAR++uknhg8fTv/+/UWX8qBBg5DJZI128UskEqKjo4mKisLNzY23\n336bSZMmce/ePRYuXKi1hVcikVBbW8v58+eZPHkykZGRnD59mvXr1zN79mzatWuHlZWVVt8Qzpyr\nqysdOnRg4sSJWFpa6tw6KqzdoUOH8PT0ZMCAAeLZdnFxoaqqilu3br3wt5pAWGcfHx9kMhlmZmYc\nO3aMqKgotm7dyuHDhyksLOT+/fuN+lbDMKn09HRmzpxJdXU1ycnJSKVSAgICuHTpktb9P3v2LL16\n9WLKlCmkp6dTV1eHv78/VVVVJCYmvtCXX4Pw7RMnTvDpp59y8OBBoqOjsbW1Fb1+BgYG6Ovr/ymK\nuzD/NjY2dOzYka5du3L79m1WrFiBi4sLrVu3Zu/evdy5c0dn31SpVAQFBeHk5ERxcTEffvghSUlJ\n9O7dm7t377J7926txmJoaEhAQACtW7cmJSWFxYsXk5qaSkBAAKdPn+b8+fONardNmzbs2rWL7t27\ns337djZu3EhBQYE4Fm32j7Cm9+/fp0uXLrz//vskJCRQWlqKh4cHBQUFOsv1ateuHYWFhTRp0oRl\ny5ZhZ2fHqVOnCA8P5+DBg7/q9fDx8eHzzz9n/vz5dO3alZSUFFatWsXEiRMZPHgw48aNY/HixWzd\nupXY2Fit+vfLvj569AiANWvWYGZmxrp16+jUqRM7d+6ktrZWq/adnZ1RqVTI5XIiIiK4ceMGn3zy\nCd999x1SqVSUbZrA0tISb29vvL29uX//PqtXr2bw4MF89tlnPH36VCdy57+Ff5T3vxiCUMvKysLC\nwoKxY8cik8mIiYnB1NQUmUyGkZER0LgNJZFIqKmpoaSkBFdXV6ZNm8bFixeB58pFdnY21tbWOhmD\noaEhVVVVyGQyEhMTSU9P5+rVq8ydO5ctW7aIFgxtIIz96dOnGBgY0L59e9q0acPp06eRSqWYmppS\nVFQEoJHrsLCwkJs3bzJnzhysra1JTk7GwMCAoUOHcvnyZa36/ssxJCUlYWBgQFBQEG3atOHkyZPo\n6+ujUqlEt6kmYxD20rNnz7Czs2PixInIZDJSUlJo3rw5NTU1orKi7aWmVCqpqanBzMyM8ePHc/z4\ncdRqNfr6+uTk5ODg4NCoNpVKJZs3b2bcuHGEh4czceJErl27RmBgIN7e3lpbkeH5/EycOJH09HTM\nzc3x9PQkLCyMV199lZkzZ2JoaKj1N+rr6+nbty8HDx4UQ350rdgJ7aWmpmJtbc3UqVNJS0sjMzMT\nZ2dnysvLkUqlgPaXkFqtxsXFhcrKStavX8/evXvp0aMHwcHBSKVSCgsLRUvny35L+LuUlBSMjY3p\n06cPbdq04dKlS5iZmVFXV6fVo1+wNlZWVlJbW8vUqVOJjo6mvLwcY2NjCgoKaNasGfD7MbTC70pK\nSkhKSuLw4cOkp6cTGxvL+PHjxX2zdu1aLl68SF1dXaP7+jIICAggKSmJZ8+eceTIEaRSKYsXL+b9\n999HpVKJD2VdPBLt7OxQqVQkJCRw9epVkpOT+de//sWCBQtwdXXl2bNngGbyCaBFixYUFxeTlZXF\n2bNnyc/P59NPP2XZsmVIpVLxUdWY9ps1a8Ynn3zC1KlT2bt3L2PGjCEiIuKFnBNNzoFwzpo2bUpc\nXJxoDJFIJOTl5SGXy2nRogWgWSx2wyRPFxcXYmJi2LhxI+np6YwdOxZ7e3tcXV3Jy8tDKpX+6hhc\nXV3p06cPM2bMoF+/fjg4OLBo0SLWrVtHv379iIqKYs+ePchkskb377fg7OxMUlIS27ZtIz09nddf\nfx0vLy+8vb0pKSmhSZMmGssdlUqFsbExVlZW7Nixg08//ZSgoCA6deqEUqlELpdrrLeo1WqcnZ0p\nKSnh4sWL7Ny5E0tLS8aPH0+PHj0wMDAQjUT/Czl7/4TN/MUQLprQ0FC2bt2KUqkUXe03b96ksrJS\ndMs1Vgmorq4mICCAmJgYpk2bxpo1a6irq+Px48eYm5tjamoqujMbC+H/hBjiM2fOEB0djYWFBR07\ndiQwMBCFQsE333zDiRMnmDlzJv3799c4ZEMYu52dnfgwcXBwICcnh+LiYhISEmjdurXYt8aOIzk5\nGYlEgp+fH5WVlRw6dIjWrVtjaGj4woHWRhET/tfJyQlDQ0Oys7NxcHAgNTWVrKwsnj59Srt27Ro9\nBgHCXvLz8+PBgwe0bduWtLQ0FAoF+fn5lJSU4OPjA2if+KNQKOjUqRMXL17klVdewcjICJlMxo0b\nN3BwcGi061qlUtG3b18UCgV1dXVMnjxZFNjaujGFdUtLSyMlJYXr16/j6+vLpEmTtGq3IYR9FBsb\nyxdffEFZWRljx46lW7du+Pr60rJlS5ycnHTyLWEfhYSEEBMTw/vvv09qaipKpZLExESqqqrEddZV\ncuYHH3zAsmXLMDIyYurUqZiZmXH9+nWkUiktW7Zs1LeEfRoQEIBcLufmzZvI5XL09PR4+vQp6enp\nGoeOCVCr1QwdOpSDBw8ycuRI5HI5MpmMiIgITE1NG6V0jR07lv79+5OSksLUqVMZOnQo9vb2lJSU\nUFBQwN27d4mPj6dbt25a9fm3oKenR/v27fniiy/Iyclh8uTJODs78+zZM0pLS/Hy8nrpsfwehD0c\nHBzMhg0bqKiooEuXLoSGhpKTk0Nubq4on7RpPyAggPXr11NYWMjAgQNp2bIlmZmZFBYW4u7u/tJj\nEdp7+vQpFy5c4OnTpzg5OVFUVMSsWbPo27cvs2bNwtPTs1Fzo1KpXoifnz59OkuWLGH9+vVYW1vz\n448/cunSJfz8/LQOs2vo3erbty87d+4kLCyMAQMGUFJSwqNHj/D29hb79cuQJbVaTV1dHVKplO3b\nt9O7d29ee+01MQzHyMiIU6dOiXtEF/Dx8SEsLIx169YRGhrKqFGjyM/P5+bNm7/b15eBIEPmzp3L\nZ599hlqtZvr06Tg6OnL48GEqKytp27atRv0W5nro0KFs27aNvLw8pkyZgo+PD8+ePaOkpISAgIAX\n/vbvDIn6f8E/8P8B6urqmD9/PlFRUTRp0gQXFxcyMjJo164da9euFS1pjcXx48dZs2YNoaGhVFRU\nYG5uzsOHD+nXrx8LFy4U42cbC0FwXrp0iX//+980bdqU4cOHExgYiKOjo/gAyczM5KuvvuLmzZvM\nnDmTyZMnazSOht997733uHfvHh4eHhgbG1NWVoZcLudf//oXXbp00UjJfvz4MW+//TazZ8/GwsKC\ns2fP8tFHHzF//nwsLS3ZsGEDSqVSjH3VFp999hlHjx7FxcUFY2NjiouLMTU1ZfHixbRv316rh8LT\np0+ZMmUKISEhlJSU4OvrS1RUFGZmZuzatUtnY3j48CFz5sxBqVRiYmKCVCpFLpfzxhtvMH369Jce\nQ8MHZF1dHdu3b+fo0aN4enryzjvv6Cze/cqVK+zatYvs7Gyys7Px8/OjQ4cO2NjY0KdPHzw9PbX+\nRlFREbdu3SIlJYXk5GRycnKQyWRUVFQwa9Ys3nzzTZ14ogCePHnC7Nmz8fb2pqamhmbNmhETE4OX\nlxdbtmzRuv1foqKigtLSUlxdXSkuLmbEiBH06tWLpUuXatSeWq1m48aNXLt2DWNjYwwMDEhJScHF\nxYUVK1bg5eWlsXEBnscEf/zxx+Tl5WFqakpJSQlFRUVMmTKFWbNmNbrt7Oxs3n77bbZs2SKGoVVV\nVVFWVoZKpdLJ/vktlJaWsmXLFpRKJfPmzcPCwoLx48dTVFTE8ePHadKkiU6+I8zJ4cOHSU5OZtCg\nQQQGBvL1119z/PhxvvjiC9q2bavVHq6uruabb76hqKiIiRMn4uXlxerVq/npp5/Yt28fLi4uv7s2\nwrdv377Nhg0buH//PtbW1vj7+xMSEsKgQYN49OgRX375Jfr6+gwfPpzXXntN41h4hULBgQMHOHny\nJHV1dSQlJeHm5sbnn39OcHCwRnv04cOHGBgY4ObmhrGxMfDcU3T//n08PDxwdnbmq6++Yv/+/Sxb\ntoyBAwf+4V09aNAgXnnlFebNmyfeVTdv3mTWrFlcvHix0d7QP0JSUhIWFhY0bdqUAwcO8MMPPzBz\n5kwGDBigsV7xSygUClH3CQsLo3fv3ixZskRrL+mJEycoKipizJgxmJiYMGzYMNRqNbt27dJZRMKf\njX+U978RFAoFFy5c4Oeff+bJkyc4OTnpJIHixo0bbN++naSkJCQSCYMHD2bq1KnY2dlpfDkKAvTS\npUsolUratGnzgnCor68Xk7jkcjnR0dFYW1trldzTEHv27OHq1atkZGTQpEkTZs+eTXh4uFaH+uuv\nv2bnzp14eHhgaGhIXV0dtbW1vP322/Tt21dnAknApUuXuHz5MgkJCRgbGzNz5ky6dOmik1d/cnIy\nX3zxBc+ePaOsrAxfX18WLlxImzZtdNDz/1v/kpISjh07Rnx8POXl5fTu3Zs33njjpS92YU5PnTpF\nXFwcLi4u2NnZkZ6ezuHDh1GpVKxZs4ZOnTpp3We5XC56IJKSkoiPj0cmk6FWq5k7d67oudElKioq\nKCoqIjc3F3d3dxwdHbVSSH+JtLQ0vvrqKx49ekR1dTUhISHMnTtXtCxrA2GNnz59Kj76xo4dS8uW\nLamsrCQtLQ1PT08xrE9TnD17llOnTvHkyRN8fX1599138fHxadQcyeVyFAoF5ubmL8iAuro69u/f\nT1RUFCqViu7duzNs2DCNlN3i4mIKCwtFr8ZfCYVCwZdffknbtm155ZVX/vTvvfXWW3Tv3p2RI0fq\nJLysIWpra8Vk01GjRv3h3wv7cubMmejp6TFkyBDc3d1feOSrVCpSU1PZuXMncXFxrFmzRvQQ/R6i\no6MpKirC09MTJycnUbGG5w/z+/fv06RJE7y9vcXQK02wevVqIiIisLKyws3NDW9vb4KDg3Fzc6NJ\nkyaYmZmRn59PRUUFHh4ev3nvCHOhVCrZtGkTp06dYv/+/TRr1oyKigqWL1/OgwcPGp1L8HtQqVTi\nI1s4+8ePH8fGxoawsDCNH3WCXExJSWHOnDm0bduW4OBgvL298fHxwdDQUCvDk1wu59ixY1haWjJ0\n6NAXfnfw4EE8PT0JCQnRuP3/Nv5R3v8miIuL49GjR4SEhGBjY4O1tbV4YBvyRjcWmZmZWFtbY2Zm\nRkVFBfX19WJinjZKhPC/4eHh5OTk4O7uzs6dO7VyI74sampqMDIyora2ltLSUuzs7HSmVF+5coXz\n58+TmJhIfX09U6ZMYcCAATq/sMrLy8U47urq6hcuCV2isLCQ8vJy3N3d0dPT06niWFJSgqWlJXp6\nemLilqbj2LNnD4cPH6aiooLKykrs7e1xcHDA2tqaSZMm6ezRp1QqKS0txcLCAqlUSn5+PnK5HFdX\nV429Ww3x008/cfHiRZo3b46Hhwd2dnZYWVlRVlZGcHCw1utcV1eHoaEhly5dwsDAgB49egDPFcui\noiIcHBywsLDQyToL1ruPP/6YiIgI+vbty4ABA3S2FjKZjO+//54ePXrQqlUr9PT0NLbo7tu3j6io\nKJydnXFzc8PJyQlbW1scHR1FedfQiqcpEhISsLGxEQ0fsbGxODo6aqXI/RaENSwtLeXatWtUV1fz\n2muvoaenx9mzZ1Eqlf+hhGgLpVLJ7du3uXr1Km+++SaOjo5kZGQQGRnJmDFjtG6/rq6OiIgIEhIS\nGDduHObm5jx79ozExMRGsQupVCqWLFnCrFmzcHV1Ffv+S2pZhUJBeno67u7uLyXDN27cyIULFzAw\nMMDc3BwHBwecnJzw9PTEx8cHFxcXTExMtD5bSUlJ3L9/n5SUFGQyGYWFhWRlZeHs7IyLiwu2trZY\nWlpia2vLwIEDX2rfVlVVMX/+fCIjI/H19aW+vp7i4mLeffddhg0bplV/G2LXrl2cOHGC7t278/bb\nb1NbW8uCBQuYMWOGxiEtDVFYWMiOHTuIjY0Vk4KVSiWWlpa89tprTJ06VaN2r1y5wrx58xg3bhyL\nFi1CJpOJBpzevXvj4OCg0/vxz8Y/Me9/IQSr45UrV9i8eTMPHz7EysqK1q1b06lTJ1q1akWrVq00\nvnB27NjB1atXqampwcLCAjs7O0xNTWnatCmTJ0/WytUqsHcoFAq+/fZb2rdv/7uvYm3crA0vscuX\nL/Po0SPUajVKpRJjY2PMzc1p06aNSP+kCRQKBZGRkfj4+NCrVy9KSkp06j4TxlBUVMTRo0e5f/8+\n9fX11NbWYmlpKeYKaEOPp6enR3JyMnfv3qW4uFj8nZGREUZGRvTu3VtnSsbBgwc5f/48xcXFVFdX\nY2dnh4WFBa6ursydO7fRuQ0TJkxgzJgx4gVbU1ODvr6+zh5NSqWSc+fOcfr0aSoqKjAwMCA0NJTZ\ns2frzJ1cW1vLZ599hrOzM8XFxURHRyORSPj555/x8vLSushRfX29OB+7d++mWbNmovJuY2ODjY2N\nyLChiwtIUIL09PTo3r07U6dOFUMPND3PDa35X331FbGxsVy9ehVra2sCAgLw8/PDzc0NLy+vRj10\nDA0NqampISIigtLSUtRqNdbW1jg6OuLp6UnLli1xd3fH3d290cnPDSkD9+/fT9OmTVmzZg329vZ8\n9913BAcHM23atMZOxUt9V6D7PX78OBkZGRgYGIiUoDdv3qRLly46obEVxhgZGckXX3xBRUUFEomE\njz76iEePHrFu3Tq8vb01tkw29LDt37+f/Px8Mdn9+vXrHDp0iMDAQDHm/degVquRy+UYGhoSGxvL\niRMnmDhxovj7X94/arUaqVQqxmG/DPr374+XlxeZmZlkZWWRl5dHZmYmERERSKVSrKyscHFxoWXL\nlgwYMEDjx7iXl5cYh56Tk8PMmTPR19fHy8uLnJwcHjx4QEpKCkOGDPmP/A9hrYSwoLlz51JYWIie\nnh7ffPONyNqlVCoJCwvTqUexqKiIzZs3ExYWxpEjR5g4cSImJiZUVFRw5MgRnSjvdnZ2zJ07V/R0\nCawzgqdCU9TU1NCqVSsGDBhAcXExixYt4ueff8bMzIzo6Gg++OADbG1tte7/fwv/KO9/A2zevBlv\nb2+++OILEhMT2bFjB6tXrwaeWzIDAwOZOHEiffr0eek2i4uLWbNmDQMHDsTX15eCggLKysrIzMwk\nLy9PJzGSEomEIUOGcPnyZTp16vS7SoM2Mb7CJXb27FlWrFiBm5sb7u7uSKVSMjIyyMvLo7y8nK5d\nu2oU2iKXy/nmm2/49ttvMTQ0xNvbm169euHr64urqyseHh5az1fDMaxbt46QkBB8fX1RKpUUFxeL\n8YODBg3SKjxn+fLlxMbGitZBY2NjFAoFZWVl+Pn50axZM61jrsvLy/n4448JCgqiV69ewHPO7oKC\nApFTuzFQqVTcvn2bmJgYhg0bJrIhHTlyhPfee08rr4ow1vj4eD799FM8PDzo2rUr1dXVnDt3jqio\nKDZs2KAVN7Sw74UEwtWrV+Pu7k5BQQF5eXlUVVUxY8YMrffQtm3bSEhIoHnz5qSmpuLo6Ehqaioe\nHh7i3+iS2UY4y7169WLFihXMmjVLNCRo+h1hPU6ePIlMJuPTTz+lsrKSY8eOsXPnTlxcXNDT08PO\nzk6kIX0ZBWn06NGMHj0aeK5gJCUl8eDBAx4+fMjly5fZvXs3EokENzc3vv/++0attzDWzZs3069f\nP3766SeSk5Oxt7fH1taWq1evMmrUKK2pRn8LP/74IwMHDqSiokIsvNalSxcuXbpEcnKyVuGPAoR1\niYiIwMbGhr59+5KSkoJcLqdVq1Z4enoSExNDSEiIRvJDcPBfuHABd3d3/P39SUlJAaBjx46cPn2a\nx48f4+7u/h/tC2O7cOECX375Jba2tujp6WFlZcX169cpKCjAyMgIKysr7OzsRKOLJvPh6en5Qu5C\nbW0tWVlZpKamkpSUREJCAnFxcSQkJDB48OBGt99wTPX19RgYGJCenk5+fj5r164Vk56zs7OZPn36\nr3rJhbnx8PAQx/rjjz9y8eJFXF1d8fX1xcvLCw8PD8zNzXWSqyV8/8mTJ+jp6TF+/HiaNm3KuXPn\nGDt2LK1btxYprXVhPDAyMsLJyUlM8re0tOT27dtaGVp8fHyoq6vD0dGRPXv2cPv2bZENb+XKlTx6\n9Ihu3br9z1jf/1He/0IISklhYSG9evUSLUMBAQEsWrSIbt264enpyY8//siyZcvQ19enZ8+eL9V2\nRUUF/v7+9OzZU6xmV1VVhUql0pp2T1Aunz59yp07d4iPj6ddu3aEhYXRpEkTnYeYCAcpMzOT9u3b\ns3HjRiwtLZHJZNTV1YnMOUCjFL2GF9bx48dZt24d1tbW7N+/n40bN2Jvb4+7uzvW1tb07duXgQMH\naj2GsrIyOnbsyLp167CxsaG8vBw9Pb0XLNXaZOlnZWUxdepU5s2bR3V1NYWFhVRVVWFiYiJa3bVV\n8IqKivDz82PmzJn06tWL2tpajRRTYf4fPXrE559/TlpaGhkZGaxdu5aamhrOnTtHjx49NC7IAf+n\nNNy7dw8rKys2b94s5pB07dqVJUuWcPHixZeKtf0jVFVVYW5uTlFREZ06dcLR0RF/f38uXrzI+fPn\n6dOnj8YPJ+HM1dbW8vPPP1NZWcmdO3eIjY1FIpFgamqKm5sboaGhjB49WmdKfE1NDbt27SIzM5MZ\nM2aIlskWLVrg6ura6L0qnAPh0SFQtA0dOpR33nlHrMApcDuXlJS8lJu8vr4elUqFoaEhtra2mJub\nv7Bv6uvrefTob0Fc4gAAIABJREFUEenp6Ro91ITiRWFhYbRo0YLz58+LrFoXLlz4UxT3hpSXKpWK\nsWPHMnfuXGbMmCGyO+nKayTsl7y8PMzNzZkwYQKzZ88mPj4ePz8/8eegHRNWfn4+HTp0YOrUqbz1\n1lukp6eLVTR/a12EPRMcHMyYMWNITU3l3Llz1NbW8t1332FiYoK5uTkWFhY4OjoyadKkRhc1FKBS\nqUQPV15eHtHR0QwcOBBPT0/ReKZWqykoKNAqBKthUa9nz55hZWX1wqPB1NQUFxcXsdr6r7G3NAyF\nCQkJQS6XExMTw+PHj8Wz4OzszIcffqj1PhHWoLa2Fj09PWpqarC3t+fevXuMHTuW1NRUmjZtCiA+\nSjTFt99+i42NDYGBgVhaWmJubo5cLictLU3jcajVary8vMjLy2P79u0cPnyYHj16EBoaSm5uLsXF\nxVoXL/xv4x/l/S+GQqHA399fLHEOz6kEe/bsyb59+7hy5QohISG8/fbbHDx4kLCwsJc6GObm5ri4\nuLB9+3Y6duyInZ2dTmJ64f8EcVFREfr6+jg5ObFgwQJMTExwcnLC3d2dGTNmaCxAfwlByHXo0IHT\np0+TmJhISEiIKCw0RUPueHt7e9q1a4eDgwPBwcF8+eWXxMXF0bdvX6Kjo1m8eDFxcXEsWrRIK+U6\nKCiIPXv28PDhQ7p166YT/nIBSqWSvn37ihYQY2NjMR5UFxAsEsJlefToUXr16iUq7pWVlejp6b20\nK1mY/+vXr2NsbMyCBQu4c+cOMpkMa2trmjVrRkREhFbKuzDvVlZW1NXV8eDBA7p37w4855w2NTUl\nLy9P4/bh/y42f39/3Nzc2L17t3jmkpKSSEpKEsegqfKur6/P9OnTqa+v58qVK8yfP59x48ZhaWkp\nupczMjKIj4/XSWyygLq6Onr27ImHhwcZGRncuHGDM2fOUFdXR/v27VmxYkWjxwHPrYaXLl2isrJS\nVNpGjhzJxx9/TEhICP369UNfX59Dhw7Rp08f3Nzc/rBdoe3Lly9z4MABPv/8c6ysrMQ46KCgII3j\n9SsqKnBycuLZs2diZWd4nhguXPq6YhFqiPr6esLDw7ly5QpjxoxBrVZTWFhIREQE5ubmjaJW/D0I\n/e7SpQtffPEFaWlpWFhYUFdXx+XLl6mpqdGYsrhh/zp16sTp06cZN24cBgYGVFdX8/PPP6Ovr/+H\nlKMODg5imMzjx48JCwtj9OjR5ObmkpSUJFrHBb59TdZDT09P/J8LFy5w+PBhOnfu/EIIpUQi0fru\nEb4FEBgYSE1NDT/99BOTJ09GT0+PlJQUMjIyXjoMJSAgQKQ5VCgUFBUVkZWVRW5urk4rhrZv356g\noCB27dqFt7c3Dg4OrFu3jqSkJDF0TJu9WFNTQ1xcHGlpaZiZmdG0aVOMjY15+PAhTk5OjQqBagih\nT++88w6bN2/G0tKSMWPGYGpqSlRUFAYGBmJF+P8Fqzv8o7z/5ZBKpQwaNIgFCxawceNGhg4dSmlp\nKfHx8aI12cLCgi5duvD999//oeIuCKzLly+TkZHB06dPmThxIlOmTBHLtetKkQ8NDaVnz57U1NRQ\nUFBAcnIyjx494sGDB1RWVr7QH10gKiqK6upqPvroI5ydndHX18fa2hpXV1eCg4Pp3Llzow5eQ+74\nqqoqiouLcXBwwNjYmMGDBxMREYGbmxvjxo1j06ZNnDhxgkGDBmmVsCckQy1cuBBra2sMDQ3FhLe2\nbdsyaNCgRlsthDnOysoiKyuLmJgY3nvvPVGJtrS0xN3dnU6dOjWqJPyvfUcI/SkqKuLevXsEBQVh\nZWWFvb099vb2tGjRgtGjR/+hstUQ2dnZ6OnpMWzYMGJjY4mNjaVLly7I5XKtEzyF/TBw4EAuXLjA\nt99+Czznwt+yZQuFhYW0b99eq28IsLCwYO7cubz77rsMHz6ctm3b8uzZMwwNDUVGEG3OglAEy9zc\nnN69ezNp0iSkUikqlYra2lrKy8t1Mo6GMDc3Z9y4cahUKgoLC8XE2IZWX03O+BtvvMGhQ4dYvXo1\nI0eOxNXVlfj4eLHIC0C/fv04d+6cKAd/DcKDMiMjA4VCgZeXF4mJiRQUFGBubv7CWRKK4mjy+HZ1\ndWXw4MGcPHmS8vJyAgMDWb16NVevXiU8PFxsX9fQ19dnzJgx3L17lzfeeANTU1NmzpxJaWkp48eP\nF7+rK4VjzJgxPH36lLfeeguJREJubi45OTl0795dJzUiZsyYQWJiouhNWblyJenp6bzyyisvpWQK\ne61Zs2aEhYXRtGlTmjZt+qtx3Y3Zk0K7p0+f5tmzZwQEBHD79m2aNGlCXl6e6E3+MzzLbdu2Zfjw\n4Zw9e5bCwkLs7e3ZtWsXbm5u9O3bt9FjkUqlODo64ujoqNN+wnMZt3TpUpYuXcqePXvEaqrTp0/X\nqK8ChD1sZGQkGs5iY2PJysqiurqafv36aRWmJGDIkCG4ublhYmJCy5Ytyc7OZtWqVYwYMeJ35czf\nEf+wzfxNsHfvXjZv3oyhoSFGRkaYmpry5ptvMmDAAORyOWvXruXp06ccPHjwpdq7c+cOUVFRZGdn\nExcXR1ZWFsbGxnh4ePD55583Srn6JYSDNmvWLObMmYO/v7/Gbb0s8vPz6d69O3379qVly5aUl5dT\nWVlJbm4uubm5YhytJsjJyWHs2LF07tyZhQsXYmVlxYkTJ1i6dCk7duwgJCSE+Ph4pk+fzrp16+jc\nubNG3ykoKKBbt24MGzaMrl27UlRUJCpCWVlZ1NXV8cMPPzS6XSGkYuPGjWzcuJERI0agp6dHbW0t\nSqWSgoICMjMzGTZsGO+8847WyYZvvvkmRUVFzJ8/n/r6evLy8sjPzycjI4OcnBwWLVrUKErKixcv\nsnjxYr766iu2bdvG8OHDsba25oMPPmD16tU6K37z8OFD1q9fz71796ipqcHOzo53332XQYMG6fRC\nzs7O5uTJk6Snp2NmZsaoUaNeiqbuZSEkE/6Zbl7hjFdUVHD58mWcnZ3FR05kZCTNmzfX2qvz008/\nsWXLFvT19amuriYvL4/58+czceJElEolR48eZdWqVcTFxf1hPzdv3szWrVupq6sT5WefPn0IDg7G\nxcUFBwcHrfurUqnYtGkT+/bto6ysDHiu7ApFZP7MWNna2loOHjxIdHQ01dXVdO7cmdGjR/8pLFVC\ngmBkZCQpKSl4eHjw4YcfYmJiopP2s7OzOXPmDDExMWRmZtKuXTuWLFnyu7kycrmcuLg4Onbs+MLj\nS4gdFworaVvReM+ePRw6dEiszSCRSMRKpy4uLjg5OdGqVSs6deqkNUXqL3H48GGOHj1KWVkZXbp0\nYdKkSbi4uOj0G9oiOTkZhUKBr68v2dnZJCcnY2xsTHBwsE7y6Pbu3UtWVhaLFy/WQW9/HUVFRcjl\ncmxtbZFKpcTExODt7f0/lawK/yjvfzkUCgXV1dVYWlpSWFjIo0ePkMvlBAYGigp2cXExH330Ee7u\n7ixcuPBX21Gr1SQkJIiun18iPz+fhw8fkpWVxahRozR6ZTaMBywvLyc0NJRvvvlGDENo2BddX2IK\nhYI1a9agUChYsWIFlZWV1NfXo6enh1Qq1dqTcPnyZT744ANqa2txcHCgqKiIAQMG8OGHHyKVSrl7\n9y5Tp07l4sWLGjO21NXV8eWXX5Kdnc369eupq6vT+rJpiCdPnvDpp58yb948QkNDKSkpESuWCtzB\nurjsr169ysqVK9m0adNv7rfGoLq6mrVr1xIXF4eJiQkqlYonT57QtWtXVq5cKcbaNgaFhYUkJCT8\n6kOrtLSUiooKDA0Ndca+o1arSU5O5uHDhwwdOlQsoZ6amkrHjh11ch4a8iBHR0fj4uKCr68vNjY2\nqNVq4uLiaNGihU5CsYSH2uLFi4mJiaG0tJT9+/fj5eXF4MGDCQwM5JNPPtE6Ea6iooJbt25RXV0t\nJkbC8/O+e/dubt26xc6dO/+wneLiYh4/fkxJSQmrV6/GwcFBXANB0baysmL//v2NNlw0rOTp6uqK\nkZER2dnZVFRUiDz3f6bifvz4ceB54rA2idUNIfT3+++/Jzc3lwULFlBZWYmhoaFOvLLC/tm2bRs2\nNjaMGjVK49wYeB5at2PHDnbv3k1+fj7R0dF4enri7e2t81AleD4/Xbt2ZeTIkdjb2/Ps2TNSU1PJ\nycmhpqaGEydO6CTfoLKykhMnTlBZWcnQoUPFNnVdU0QXyMvLY+bMmRgbG9O/f38mTJigk3YFPnsv\nLy/eeustDA0N2bBhg07ahhfP765du0hISEBfXx8LCwtef/31/0qdhD8D/4TN/EUQNtSpU6c4e/Ys\ndnZ2+Pj44OjoSJMmTYiMjMTc3BwbGxvMzc2ZMmXK774MExMTmTFjBgcPHsTExIQffvgBDw8PfHx8\ncHJywsHBQWthExMTw5QpUzA3N8fa2hpjY2Nu3rwpZv5bWFhgZWWlswsG/k+IxcbGkpubS0REBN7e\n3qLLWBeorq6mV69eXLt2jZs3byKTycS8A3i+Vunp6Zibm2uk7AljuHPnDikpKdy8eZPVq1czf/78\nFyy+mioAwv89fPiQnJwcPvvsM7777judxjoKKCsr4/Lly1RVVTF37lxWrFiBt7c35ubmYhLWH12m\ndXV11NXViZY8Y2NjPvjgA/bt20dkZCSFhYWMHDmSN998UyPFHZ7v1Z07dxIaGkpqairff/893t7e\nBAQE6MRqLKAh9eHixYtJSkoiOjqaTz75hCdPnjBr1ixOnTqlcaxmQwh7Y+XKlTx58gSpVIpEIhEr\n3LZo0YLly5frRHkX1vDixYvMmTNH5Ob28vLitddeEzn5G0OnKpyDa9eusW3bNtRqNT179iQwMBBz\nc3N+/PFHOnToQIcOHTAwMKB79+6Ehoa+VNs2NjZ07doVpVLJwoULWbp0KV26dEGhUFBZWUlOTg7Z\n2dkanV+JRML58+fFhPb27dsTEhKCt7e3WIND14q7cKa3bdvGvn37RCrAgIAA2rVrh5ubGy1btsTT\n01MjQ4zQXxsbG/EBdubMGfbu3Yubmxt+fn5ioSInJ6dGx3gL+6ch3eu3337L9evX8fHxwd/fH09P\nTxwcHHB0dPxDK3ZoaKi4do8ePWLRokXU19djbm6Oh4cHvr6++Pn50bt3b53Eo5eUlFBVVcWIESP+\ng75SqFSuDYSzEBkZKbKP2dnZMWLEiL+d4i7sxfv375OZmcn7778vPrIF2682+//QoUPcvXsXKysr\nYmNjcXZ2ZseOHbi5ueHo6Iirq6tW8y30f926daSkpPDKK6/g5OREUlIS7733HgsXLmTcuHEat/9X\n4R/L+1+MLl260LJlS0xMTKiqqkIqlXLlyhX8/PzYs2fPS1/ElZWVFBQU4O7uTmpqKsuXL6ewsBAT\nExNsbGywtbXFzs6OLl26vPSF+EsolUpiY2NJS0vjyJEjpKWl0aRJE4qLi1EqlZiZmWFvb8+cOXMY\nMGCARt/4Lezdu5fvv/+empoacnJysLKyEhMEJ0+eTPPmzRvVnqB0paamcvz4ccrKymjTpg02Njbo\n6+tTXFyMo6OjyGucnZ1NQkLCS7P9/BqOHDnC7t27qa6uJjc3F6lUioeHBy4uLrz99ttaKXhqtZr5\n8+eTn59PQkICSqUSf39/WrZsKcbta2slhefzsHTpUmQymcj2Y2xsjJubGwMHDmTs2LF/2EZERARP\nnz5l+vTpv/p7lUqFQqHQyi1dU1NDTU0NVlZWREdHs3nzZoqLi8VwEysrK6ysrBg+fLhWVWcbhixF\nRkbSuXNnEhMTWb16NcXFxbz//vt07tyZOXPm6CT/o7y8nE6dOrF06VLc3d0pLy+nrq6OVatWMXTo\nUN577z2dKZL5+fmEh4ezbt06lEol+/btY+/evRw4cIAvv/ySe/fuNao9Ya7Gjx+PWq2madOmpKWl\nUVpaSk5ODu3bt2fp0qVanQO5XM7p06cZPHiw1mFFwqWflZXFhAkTCAkJwczMjCtXrlBQUICnpye2\ntra0adNGZCTRNYKDg5k/fz79+vXj7t27bNmyhczMTDp06IBCoaB58+ZMnTpVJxV14+PjuXbtmpgz\noFAogOfMJ0uWLHmhgunLoqFB4tq1a0RERIhrLuRw2NnZsWLFipdSuhueofj4eB48eMDTp09JTk4m\nLS2N+fPn89prr2mkAAtsbMK+KS0txdTU9IUiiQYGBjo5X8I4tm7dys2bN1myZMkLBcX+ThDWMDY2\nlm+//ZYFCxaIe12bApICLly4QFxcHJmZmVy7dg1nZ2fMzMxQKpVi4S0fHx9WrFihVehWx44dmTlz\nJpMmTRJ/9umnnxIdHf2nGbv+TPxjef8LkZGRQVlZGZMmTaJz584UFhZSUFBAbW0t/fv3f0Fx/62L\nXzhYpqamogXG3t6e9957j+TkZFJSUsjOziY/P5/09HSaN29OaGioRoqEgYEBbdq0ISQkhJMnT9Kx\nY0eWLVuGgYEBMplMdOcLrlFdWhDGjx9Pv379qKysRKFQEBUVRVRUFFlZWWLSTGMs18L4f/jhB86e\nPYu1tTVXrlzB3t4emUyGUqlk3rx5hISEUF9fj7Ozs1bJngCjRo1i1KhR1NXVoVAouHfvHnfu3KGo\nqEhcC02t70JBlbS0NOB52EhUVBSpqak64fkV+ubs7Mx3330n/iwrK4uff/6ZZ8+eiYL1j9a9uLiY\nqqoqAPbv38/u3bsJCgqiffv2tG7dGjc3N63De4TCVADt2rVj1apVJCQkkJycTGZmJoWFhchkMurr\n67X6joDU1FSMjIwYNGgQn332Gffu3aNdu3aUl5eLc6GNnUTYFzk5ORgbG2Nqaioy2Ai0kUKMri7h\n6+tLZGQkY8eORSKRUFJSQlRUlPhYbowcEeYhMTGRadOm8cYbb4jK0tKlS0UO5peFMCf37t2jurqa\nbt26YWZm9qtsO5pYCIX2Hzx4gEKhYO7cubi4uPDhhx+yatUqTp8+TXBwMOfPn2fnzp3MmDGDmTNn\nvnT7f4TMzEz09PRwc3OjWbNmDBkyhICAAObNm0ebNm2wtrbm0KFDjB49mn379mkdwiaw8dTW1pKa\nmiqyldTW1mos+xrOd48ePejSpQulpaVkZmaSmZlJfn4+wEvFG6vVarEQnUQiEfurUChQKpXo6+uL\nck4TyuADBw6IHsXq6urfVKR1ESIlnJkePXoQGRmJRCJ54Xt/R67x8vJy4uLi2LFjB//6178wNzfX\nSchSeHg44eHhyGQybty4wbvvvou9vT35+fkUFxeTn5+PgYGBVop7bW0tAQEBXL9+nVGjRokPtMDA\nQA4dOqTTgoz/LfyjvP+FqK2tpVmzZty/f5+uXbuKmfMeHh6cOnWKUaNGiYLltw6JRCIhMjISS0tL\nfH19MTQ0xMzMjMDAwBeoGgsKCigqKsLe3l78P00gCMXevXsTGBgoChwzMzNatGjxQiEpXbr+kpKS\nKCkpEQs0+fj4MGrUKAoLC8VCDo0Zk/C39+7do0+fPnz88cfAc8Vy/fr1VFdXiywSuhpHdHS0yJHe\nvHlzevToQUhICMXFxaIypOm6CIWYbGxsaNasGSYmJvTr14/i4mKdKKgNCxHFx8fj4eFBmzZtxCSu\nhIQE0b38e/OlVqtf4Cfu0qUL+fn5xMbGsn79ekpLS9HX18fMzIyvvvpKK5pIAfv376d///6EhYUR\nFhYGPJ+v0tJSrS1dwliDg4P55ptvsLS0RF9fn/r6euLj4ykoKBDPoaZr2/Aib9asGX5+fhw8eJDw\n8HAxPrm6upqioiJAN49mlUqFg4MD06ZN44MPPiAyMhJDQ0OmTZuGXC4X410b+yCprq7G3d2dmJiY\nF6qSBgYGsmXLFo2s5ffu3aOwsJBu3bpx9uxZLl++TEBAAP7+/jRv3pymTZtq9Xitrq4Web+FIlKj\nRo0iNTWVQYMGsWLFCj7//HP27t0rVsfWFdzd3bl586bo8XN1dcXf35+EhAQ2bNhA//79mThxIseO\nHdMoyU/YW5WVlWzevJn8/Hz69+9P7969NbK0/953SkpKxMdnixYt8Pf3F3OWXgbCGZgxYwZZWVl0\n7NiR7du3a53zJNyt7u7uVFdXA7B+/Xp27dqFr68vwcHBtG7dGn9/f1q0aIFUKtWZcn3y5Enu3bvH\nmjVrmDhxIp6enjg7O/+tFHehL1FRURgbG3PixAmxSJxQC2XIkCEaK9eCvJLJZIwcOZKePXv+h/wS\nvECaokmTJkydOpXFixezevVqBg0aRGlpKVu3bqV9+/ZIJJI/her1z8Q/yvtfiBYtWhAaGsqRI0fo\n3r07QUFBxMfHEx0dLTK4vMyG2rlzJ7du3UJPT4+mTZvi5eVFy5YtCQoKomXLljg5OYlUfgK0FQ6T\nJk2ivLycsrIynb3Af4mG1sZly5aRnp6Ok5MTTZo0wcDAAKlUiqen528m8f4eBOHQrFkzEhISkMvl\nmJmZYWNjQ3h4OEuWLBEFuS7GkJmZybJly8jOzhYVRqGgTGBgIB988IFG7QuC7/z58+zZs4f6+nox\nRrC2thaFQsGwYcO0CvdpCCFcorq6GrVaLc6ZYJFsWO3z1yCRSF5QLu3t7VmwYAHwPExDJpORl5cn\nhoBpC4VCwRdffCEmdgqQSqU6iY0VMHr0aM6dO8eIESMwNzdn3759JCcnExQUJNLYaVKVUiKRiGdV\npVJhZWXF66+/zqpVq1i4cCH9+/fn+vXr3L59m7feektn4xH6Gh4eTvPmzTlz5gwPHz6kpKSECRMm\n8PrrrwONf9gaGxszcuRIPvroI/bu3UuvXr2oqakhNjZWzJV52UtUmJepU6eKf29gYEBlZSXnzp3j\nzJkzGBsbY2xsjJ2dHTNnzmzUnhLaDAsLY+vWrZw5cwY/Pz8x8TslJYXY2FhCQ0N59dVXuXnzJsnJ\nyTpT3l1dXenRoweHDh0iODiYgQMHEhMTw8OHDwkODhbnwN3dndzcXI2+IeyxqKgovvvuO0aMGCF6\nxZRK5UvlsPwehLMeERHB8uXLyc3Nxd7eHjs7O2xtbTE0NCQ8PPyFB/3vITMzk7KyMrZt24aHhwcG\nBgY6U6QbGp7efPNN/Pz8iImJITExkRs3blBSUgI8NwbogmFNpVJhaWlJr169SEpKYu3atajVaoyN\njfH29tZJQrguMWTIELp160Z2djZJSUnk5uaSkJBAVlYWI0aM0LhdQYb80uDYELpIou7cuTMrV65k\n48aNvPXWW6hUKsLDw5k7dy7wv8PvLuDvszP+P4S+vj4zZswgJSWF1157jebNm1NaWkqLFi0YOXIk\n8HIXvlCdUqBuSklJ4cqVKxw7dgyJRCJyobdr146JEydqrWjL5XL27NlDXFwctra22NvbY2JiQn19\nPV5eXqLFWlsInMx37twhOTmZOXPmUFdXh0ql4sGDB1y7dk2kEdT01Tx8+HDmzZtHRESEGKf/4MED\nysrKtA6TaTiGu3fvUlJSwueff46enh5KpZJ79+5x7tw5Xn31VUA7V+mBAwcwNTWlffv2FBYWYmZm\nxrFjx8SLUuiLpmsvJEZGRkaydOlSgoODKSkpobq6muXLl+Pt7f3StGaCsFYoFIwYMYLAwEDxsnRw\ncKBVq1Ya9VFAbm4uJ06cwNjYWGRISk9Px9XVFalU+h/839pCYGA6cOAAu3btIjY2loyMDFq1asW7\n776rcQKpRCLh0qVLNG3aFB8fHzEMaNCgQUilUrZu3crSpUuxs7PjzTffZNCgQYD2XPISiYRDhw5R\nXFzMuHHj8PPzw8fHR+s8BAGDBw8mPT2dnTt3EhkZiUwmo6ioiDlz5oh9aAwaMpiEh4fTtm1b0tLS\nSE5OJisri8LCQgCNLIMqlQp7e3smT57Mpk2byMjIwNPTk8uXL2NtbU3v3r2B53tAJpPpnFt7ypQp\nFBYWsnjxYhYvXoxSqSQ8PFyM262trSU7O5sePXpo1L4gb2pqaggLC2PmzJliYmjDKqDa4sKFCzRt\n2pR///vfyOVyHj9+TG5uLkqlUnxEv4x8MjExoWfPnhQVFdGtWzeRsUsIqdEGDR8rFhYWDBs2jH79\n+lFWVkZJSQklJSVipU5dQE9PjwkTJlBbW0tNTQ1ZWVmkpaWRm5urcxmlC3h5eYnUoYMGDUJfXx+F\nQkFFRYVWyrWw7jdv3uTw4cOYmJgQGBiIi4sLtra2yGQy/Pz8RA97YyDIs+TkZGJjY/Hy8mLPnj0v\nMCsJff9Hef8HjYKbmxv79u3j/v37pKenI5fLCQsLExNCXkYg2draYmtrS7t27UTqSZVKRUZGhljh\nMSMjQyyGoymEQ3br1i22bNlC165dkcvlpKSkAM8tyWq1mvDwcJ3G7GVkZGBtbU2/fv3E2MiYmBjK\ny8tFBVvTb73yyiuMGjWKf/3rX2zbtg2FQkFeXh7jxo1DIpHobBz5+fkYGRnh7+8v9tnNzY3k5GSt\nBJ+gCBcUFDBgwABmz54t/s7U1JTExEQxJEfbyy03NxcTExNqa2vFpML6+nr69u1Lbm5uo7nSpVIp\n8+bNY8eOHSxbtoxp06bRvXt3DA0NtXpoyGQyzp8/T2ZmJpWVlRgYGLBp0ybOnDmDjY0N1tbWuLi4\nvHDONEFDppkff/yRV199lUmTJpGXl0dlZSXu7u5aha+o1WoOHTrEw4cPMTExERlGgoODCQoK4tix\nY8DzR1DDPaTNfpVIJCgUCpYvX461tTVvvPEGarWaXbt2kZmZSfv27XnllVcavdYNeeMLCgoYOXIk\nLVu2JC4uDl9fX3r37i0WP9N0zmpqati+fTvTpk0jJCRETDYHRM/aH6GyspL9+/fTokULgoKCRMVy\nzJgx+Pn5cfz4cTIzM+nVqxcjR44UE0WLioqoq6sTq1zqAtXV1VRWVrJixQpmzJhBTk4OZmZmL9QM\nqKyspKam5qUrcf4WXFxcyMvLIzY2liFDhgC6CRcU2mjdujUxMTE0b94cW1tbMXytIX7vvAsW/Nzc\nXNLT03nB6nGMAAAgAElEQVTy5AndunXTKTe3oCxnZWUxdepUdu7ciZOTE0ZGRjqhhfw1SKVSEhIS\nKCsro3nz5rRv3x61Wq11mIiuIJzb6OhotmzZQkFBAdbW1piZmYnzNWDAAK0MdoK8WrduHVKpFGtr\nay5evIhSqSQqKgpXV1e2b9+uVf+XLFmCXC4nKCiI9957738uOfXX8I/y/hciLi6Os2fPkp6ejkQi\nISQkhClTpmh1+UqlUoqKikhKSiIgIIDWrVujVqspKyvTqmx0Q5SWluLs7MzHH38sWmkKCwvFEBrQ\nzStWEPxt2rRh79693LhxQ3SvOjg4kJGRQUFBAaCZ1Vomk6FQKHj//ffp2rUrjx8/xsDAAC8vLzHM\nRNtxCGPo0KED3333HVevXhVpqUxNTcnMzBTd1JpWf6yvr6dDhw6cP3+eKVOmiGE5Hh4efPvtt3z2\n2WdajUGAjY0Nbdq04dixY7z66qs0adIEtVpNVVUV2dnZYl8aM4YBAwbg4uLC/v37WbVqFU+ePGHm\nzJniQ7Cx869Wq2ndujUnTpwAYPHixWRkZNCzZ09yc3PJzs4mMzOT69evY2FhoZXyLpyhqqoqzpw5\nw6lTp1i0aJFYCVCtVmv1+JNIJKxcuZKHDx+SnZ1Neno69+7d44cffqBFixZYWlpibm6OlZUVjo6O\nvPnmmxqPpSHKysro3bs3I0eOxNjYmI8//pjjx4/j7e0tegIaKsYvA2Eepk+fzv379+ncuTPbt29n\n4MCBWvdXSMiOj49nz549DB069D+oQF82lr6kpISzZ8+SkZFBdXW1aBTp2LEjrVq1YvHixb+aTG1t\nbc2ECRN0VjdAqVSyceNGHjx4QIsWLfD09MTExISioiKOHz/OokWL0NfXx8PDgy+//PIPw9X+CNeu\nXUMmk4kUp15eXri4uODi4qITD6S/vz8qlYolS5awdOnSRltRBZly7do18vLyKC0tpVevXri6uorU\nkyNHjtQ48bC4uJjExERcXFyIjIxELpf/aXSNwv0bGRnJ+vXrkclk2Nraoq+vT69evZgyZYpOCh7p\nAsK5PXr0KOnp6bz66qsoFAry8/NFfUKYJ01zbQSDQWJiIsuWLSM0NJSysjIkEgmrV6+me/fuGher\nEmR0Tk4O06ZNIygoSGuaz78L9JctW7bsr+7E/08QDkNSUhKzZs0iMzOTVq1aYWRkRGRkJLdu3SIs\nLKzR1lihwlxMTAxr167l4MGDxMfHk56eTm1tLebm5mLhEm2UCQAnJyeuX7+OTCajffv26Ovri5SU\nf0aJYUdHRx48eMBPP/2EtbU1EomErVu3kpiYyOzZs8VXdGOYZiQSCYcPH2bDhg3ExcUhlUpxcXHB\ny8sLT09PzM3NdSq8HRwcSE9P58iRIyiVSsrLy/n6668pKirirbfeEselydro6elhaWnJ8ePHyc3N\npWXLlmRlZbFp0yaMjY0ZO3asTjwIUqkUU1NT/h975x1XZfn//+fhsGXLHgICgoCAigNTcefe5soy\nLU1yZ6KfylHmqkxNTb/urWXurYhKiVtAVDayp+x5GOf3h4/7/qBpwTlHq8/P11+O+1zrvu7res/X\n++jRo9y6dYvKykp27NhBSEgIw4cPp1WrVgq5ry0sLPD396eoqIhdu3Zx/PhxmjVrptCBLSQeCe70\nbdu20bNnTyZOnIi/vz/9+/dnxIgR9O7dG2dnZ6XDQAQGnrfffptHjx6xefNmHjx4gLOzM2ZmZkqv\neaNGjXB0dMTLywt1dXVOnjyJu7s73bp1Q01Njbi4OC5fvkyrVq1o27atSt6zUGeioKAAPT09Fi9e\nzLhx41iwYAE3btwgMTGRt99+W/yO6gPhuTVr1vDNN9/QuXNnzMzMUFNTU2jMQt/Xrl3j//7v/4iK\niiI0NJSMjAxcXV3R0tKivLz8GZ7x+kAo3DJ48GD69euHvr4+x44d48KFC4SEhLBjxw52797N8ePH\nkclkYj6DqakprVu3VvrMENbiwYMHLF68WKxkee/ePcLCwrhw4QItWrSgc+fO4rdmamqqcL/Cumdn\nZ2NsbIyBgQEZGRncv3+f0NBQwsLCRG+YoigqKmLkyJFkZmby+PFjrl+/LrKqaWtrNyhJuW3btgwa\nNIhevXrRunVr9PT0yMjI4Pbt23Tu3FksWFbf/SQ8e/nyZTZu3MiFCxfEomFZWVkkJiaSkpJCeXk5\nWlpaKilyJwjvc+fOFRXaLl26YGpqytq1ayktLaV9+/b/mORJgaggJyeHRYsW0aFDB7p160anTp14\n6623cHZ2Vjo3Ijs7m/Pnz2Npacnbb78tknekp6cTFBTEyJEjFW67srKS/Px8CgoKGDFixB8q9P7b\nwmUEvLG8v2YI1tVbt24hkUjYvn07NjY2yGQysRBIUFAQgwYNalC7QpzounXrUFdXZ8KECTx48ECk\n9TM2NsbS0pIuXbqI1s6GQtjo33zzjUjVWF5ezoQJE1RinXkZtLS0+Oabb1i0aBFffvklFRUVmJmZ\nMXPmTNFt3ZAPUDhkPDw8yMjIICIigmvXromXiZ2dHcuXL29wJcY/g1QqZdmyZaxYsYIdO3ZQW1uL\njY0N8+bNU2gOz8PX15cvvviCVatWcfToUWpqanBzcxOTeVV1SHXt2pUNGzawfv16tm3bhpGRER9+\n+KG4X+tzgAtjEXilo6OjqaqqIj09nerqagwNDZUqNFSXwWLjxo0vtLSoKllVIpFQVVWFtbU1Gzdu\n5OzZs+zevZsffviBESNG0KlTJ9FDoej6V1VVoaGhwa1bt2jUqBELFiwQLct37txhwYIFYjK6su+5\ntrYWdXV1zMzMuHLlCmFhYVhbWzNo0CDMzc1FWlrh2YZc2CUlJbRu3ZqUlBT69Omj8Bjhv/tMJpOR\nnJzMb7/9JlLKLVu2DCsrK4yNjTExMcHBwYH+/fvXy9orrJ+pqSkWFhZcvnwZa2trhg4dipeXF/n5\n+WzevJnExERxzQWLozIC7vP9P3r0CGNjYxYuXCiGhoSFhbF69WqxToey37Pw/kpKSvD19aV///5U\nVlaSnZ1NWloaaWlp1NTUKEXRB08VIoE/PioqimvXrnHmzBn27t2Lh4cH27Ztq/e+TU9Pp6qqCjc3\nNzw9PcU8jydPnojrpAjrWIsWLRgxYgR5eXns3LkTfX19MQZdiEnX0dHhiy++UKouBPzXUp2VlcW7\n774rhil17txZlAk++OADlSbUKwphfTp27MjPP//M5s2bGTt2LMbGxmhpaanMQ2Bubk6nTp3Ys2cP\n/v7+tGzZkpSUFOLi4pRWmLKysoiOjiY0NJRmzZrh4+ODpaUlenp6/1rBHd4I768dwqUjXA7Z2dnY\n2NigqalJly5d2LVrF7GxsUDD3FDCc1FRUUydOpUxY8YAkJSUxNixY+nVqxe1tbUcPHiQEydOsHbt\n2ga7WoWN3qVLFywsLHjw4AFHjx5l//79mJiY4OrqysaNG1VyidVFTk4O6enpLF68GLlcjqamJhoa\nGqJQpCjatGlDmzZtxL/n5+fz7bffcv/+fZVWiZXL5cTHx5OUlMT48eMJDAykqqqKmpoalZVWz8zM\npHXr1uzcuZOioiIMDAywtrZWWTIXPI0FvX37No6OjmzYsAGJREJ2dvYzimB95iE888MPP1BcXIyl\npSVNmjThnXfeoX379gAqs3Clp6fz6NEjnJycMDExwcDAAAMDA1EgVgU0NDQoKyujsrKSkpISMjMz\nRWvpmDFjCAgIUEleQ0ZGBqamps+EBpiZmVFbW0tFRQWgHJc8/Pd8Gj58OPfu3ePmzZvMmzcPd3d3\nTpw4QVxcnJhM31DrZnV1NRYWFuzatYtWrVrh7u4uskYpii5duojJmkOHDsXb25tWrVqRlJREcnIy\nqampRERE0L59e6ytrf/yW3v+/y5cuEDr1q0ZN26cGOMrk8nYtGmTuO9VaSEV+tfT06OiooLr16+L\noUXW1tbIZDIePnxI9+7dlaYEFcZ99epVVq9ezcGDB0VyA1VVIIan6yWTyfDw8MDDw4Nhw4ZRVlZG\ndnZ2vaha67KOLVy4kKioKBwdHTE0NKRRo0ai1/RlRd/qAyFECODgwYOMHz+eHj16kJ+fT05ODjk5\nOeTm5iocvvE8ZDIZ7dq145dffqFfv35YWlpSW1uLhoYGhYWF/wjBXUBJSQlfffUVmZmZrFu3joSE\nBIYPH46DgwMGBgYqKYYmlUqZOHEiMTExBAQE0LZtW5F9bNq0aUq1n5aWho6ODj4+Puzfv5/z588j\nkUgwMDBg6NChKqV2fZ14I7y/ZgiW9zt37hAWFsaRI0eQSqWYm5sTHR1NUVGRSEPVUIGurKwMa2tr\n7t+/L/6bvb09I0eOJDY2lrVr1zJq1Cg++ugjNm7cyNKlSxt8+Mvlcvr37y9aPPLy8oiKiiIxMRFA\nZQJR3fLRmzdvJjs7G21tbVFwl0gkDB06tN4UY/WBsbExLVu2JDY2ViWV7oQ5BAcHixU+a2pqRKFd\nU1OTsWPH1qsq6YsgWM62bNnChQsXxDno6OigpqaGtrY2AQEBKvGKlJaWMm/ePJKTkykqKhItUY0b\nN8bFxYX169c3WIhZu3YtBQUFKhUU4NlE0sDAQGQyGebm5jRu3JiqqioiIyPx8vLixx9/VLqvkpIS\ngoODCQ4OFi+FNm3aMGTIEKqrq9m9ezcnT54kICCAwYMHKyToCb/p06cPc+bM4ezZs/Tu3Rs9PT1u\n3LhBXl6ewmfGy2BnZ8euXbuQyWTiGfH777/j5+fHW2+99cy46otTp06xc+dOACZNmoS3t7fIW96t\nWzeFBJaamhrkcjnq6uoUFxczcODAP1hGhcrVDYEwZ11dXSoqKp5h/jAxMeHx48cqUTCfh/D+unXr\nxrZt29i7dy8ODg54eHhw79494uPjxZwZRd61IAhHRUURERGBvb09QUFB6OnpqTxJUvgOg4KCxPfu\n6uqKpaUlpqamYniIkZHRn85FuDNDQkJ4+PAh7777LjKZjJqaGu7du8e9e/dED6Oi+VyC0ltVVUW/\nfv14++23RQPb83z3yipNggHq448/ZubMmUyePJkePXpQVVXFkSNHxOTPfwrvuI6ODnPmzCEhIYH7\n9+9z48YNzp07R01NDX379mXVqlUKtSuXy6mpqUFdXZ2UlBRsbW1ZvXo1p06dIiIiAjMzM6ZPn06H\nDh2UGr+fnx9BQUGUlpbi4uKCtra2mAwueJVUVcjwdeLfNdr/AQgffXV1NS1atOD06dP8/PPP6Orq\niha0u3fvoqWlhZmZGS4uLvW+JHR1dRkwYACrVq2id+/eeHt7I5VKKSkpISIiAkCkoTx58qRCVegu\nXrzI8uXLadGihWg9a9q0Kb6+viotXiHg119/JSMjgw8++EC09JaVlVFaWioK2A05TIV53L59m02b\nNtG9e3d8fX1xdnYW176kpKTB7f4ZTp06RVlZGV988QXa2tpkZmZSVFREcXGx6P1QpC/hYF+/fj3d\nunXDzc2N7OxsSkpKxMNI2RwE4X3GxMRw+/Ztli1bRvv27UlNTSU/P5+8vDyRUq4+715Y/wcPHjBv\n3jw0NDR4//33Gxwm9ldjhqcWxfLycmbNmkVBQQHFxcXcu3cPY2Njxo0bp3QfQniDEKo2depUunTp\nItKnAowYMYIVK1bw5ZdfEhkZyYIFCxTu08/Pj9GjR3Po0CGx6ueRI0d47733RKYWVVz2FRUVLF++\nHBMTE7y9vbG1tcXQ0JCePXvSokWLBhd6E1ibxo4dy5gxY0hISCA8PJywsDASEhI4ceIEBgYG9O3b\nt8ECS91v5tSpU6ipqVFbWyu+HzU1tWfCPhp6No0bN46FCxdy+vRpWrZsib6+Pvv27cPc3Fwl4W4v\ng7a2NgsWLOCrr74SKTQzMjIYNGiQKMwo865/++03Tp48CTwNK5BKpXzxxReiZ6dJkya4uLjQokUL\npTm2f/rpJ8zMzLC3t6ewsJC4uDjWrFlDkyZN6NixI1C/cK/Y2FgsLCwYNWoUxsbG1NbWcuXKFfbv\n3y/Syyqbz6WpqcmsWbPEf6+bdC48o+ydIHihHBwcWL16NXv27OHChQvIZDJGjBghFi/7p4R0SKVS\n2rdvL3pF4ak3PC8vT6xuroiiIZFIRIF50KBBfPPNN/Tp00ekQVUWwntbsWIFN27cQE9Pj9TUVIyN\njWnWrBnm5uZi2M+/TXCHN8L734YvvvgC+C9Pb0JCAmlpaYSHhxMcHMzBgwepqanB3t6eY8eO1fsA\n7du3L+Hh4Xz99de0aNGClJQUMjIymDx5MoDo1m9oHKPwYXp6ejJw4EDCw8PZvHkz+fn5qKurY2Rk\nRGBgoNKxrALqFm7IzMykb9++Yhx0ZWUlampqopW/IYepMA9dXV2kUinbt2/nhx9+oKKiAplMhpmZ\nmbhWqppDly5dSElJwcXFRbQyPy+sK3ohlJSU4OHhgZ2d3TNsI8XFxUgkEqVdmsIFYmtrS9euXcnJ\nycHKyuoPfNb1VdoEwfratWtUVFQwdOhQMVZVVcqSgNzcXIyMjOjSpYuoxERFRbF48WJKS0uValuY\na5MmTfjxxx9p1qzZM/8vKE9mZmasXbuWu3fvKm3Z1NTUZOrUqfzyyy9cv34dNTU1li9fTu/evVVS\nxERAcXExaWlpnD17lg0bNqCpqYmVlRXe3t4UFRUxZMiQBrcpMEoIhdWcnJwYOnSoGL5UW1sLKCeQ\n/tkapKSkcOvWLZEjv77o1KkTw4cPZ8OGDTRu3Jj4+HjkcjkrVqxQKZVsXchkMu7cuYO9vT1Llizh\n/v37yOVymjRpgpeXl1Ix6MJYR48eTbt27cjJyeHTTz/F09MTAwMDCgoKSE9PJzQ0FC0tLb7//nuF\nPXfCu0xNTWXUqFEMGzaMoqIiMYzPxsZGzCv6szWsexccP36cqKgo/Pz8UFNTw8XFRSwYBKpPQHye\nROD8+fMcP36c5cuXK3S2CkLuyZMnycrKYsyYMaIs8KK+/04Ia5mWlsb//d//4eDgwIgRI9DT0+OX\nX36hdevWtGvXTqFzu6ysjNOnT2NgYIC+vj7V1dVK5Tm9CBKJhMrKSg4cOMCMGTPw9vbm+vXr/Prr\nrwQFBWFpaUl5eTnu7u6MHz9ezCX5t+CN8P43ITY2lvLycjw8PGjatClaWlpYWlry/vvvA0/jr9PS\n0igsLGzQZWNmZsaqVas4ffo0t27dwtramp49e4oV+WQyGdnZ2QrzAltZWTFjxgzkcjnFxcXIZDJ2\n7dpFcHCwGIurSnefo6MjMTExbNmyhfHjx2NiYqJ0koxcLsfd3Z1vv/2WtLQ00ZJfXl6OkZGRGIKg\nqjlUVlYSFRXFhg0bmD59OlZWVioTUjU1NencuTP79u2jY8eOtGjRAi0tLZXRYQnvMiYmhpSUFMLC\nwnB1dcXf3/+Z5+p70Qhrqq2tTbNmzRg7diyampoK02S+CEI7bdu25ZdffiEoKEhMChMSHFX1bi0s\nLLCwsPiD0CCMYdGiRbi6uorftbJ4WahVTk4O+fn5uLi4KH3pm5mZsXnzZuBpImBSUhLnz5/n4MGD\n6OjoMGTIkAZf2LW1tezevZuffvqJqVOnMn78eFJTU5k9ezarVq1SWSzx8xDeS1BQEL/++muDFR19\nfX3RKBEeHs7w4cPx9PQUPWaqFLCEsT5+/JglS5agpqZGs2bNcHR0xMLCAplMxpMnT5ROIIWnLEaC\ntdrAwIC5c+fSokULCgoKyMvLIzs7m6KiIqWpL4uKimjWrBk3btxgzJgxotfGx8eHrVu3MnPmzHq1\nI5fLxZywVatWERgYiK2tLdu3b6e0tFSszPmqBF7h3dy8eZP4+HiF2xHOnfz8fPbv38+uXbvo06cP\nAwcOxM3NTaVKuLKoa7lOTU3l/Pnz+Pn54ebmxoMHD4iPj8fDw0MhJSYnJ4dLly6Rmpoq5uusWLEC\nR0dHLC0tcXZ2xtXVVWSOUhRJSUloamri5uZGy5YtadmyJb1792bixIkEBASgra3Nrl27+Pzzz9m6\ndatYE+XfgDdUka8RNTU1qKmpERoayqpVq9i3bx/NmjXD3t6ew4cPc+DAAbp3746mpiY6OjqYm5vX\nazMJH9nFixdZt24dSUlJNG/enH79+uHs7CwyI2hra4sWro4dO4oHqSKQSCRoaWmhq6tLVVUV165d\n491330VfX19lB2hhYSHffvst2dnZhIaGEh8fj0QiEa3kiiaVCtaEZcuWkZiYiIODAx06dMDJyUlM\nHhaeUxYlJSXs2LFDTD67efMmRUVFZGVlUVRUpFDVOPgvVd7p06fZsGED2dnZnDlzBi0tLdHKrKGh\noRIXL/yXX/nJkyccP36cBw8ekJKSQkxMDLa2tvUO7RLaMzMzY9euXUilUry8vF7Jpdu0aVPCw8M5\nfPgwlZWVyGQytm7dSmFhIZ988olKhKDnXep1IZFIWLBgAa1atcLb21tlc6ypqRHbF/o/cOAAJ0+e\npHv37krH49Ydp66uLlZWVjRt2pTExEQ6d+6Mq6ur2H9923vw4AErVqygdevW3L17lxEjRlBRUcGh\nQ4eoqal5pVYviUTCzp070dDQqFfegXBOr1q1ipUrV5KRkYGFhQXt2rWjZcuWopHiVVh54emaOzg4\noKurS1JSEjdv3uTcuXNcvHgRU1NTfHx8VNZ3QUEB9vb2YviKtra2WMTMyclJaSVXoOzctWsX5ubm\nODs7Exsby/79+9HW1mbYsGHiej+PulSkEokEbW1tvLy8OHPmDFu2bGH//v2kpKSIVIvCc68KEomE\nzZs34+bmRq9evZRam5YtWzJw4EAaN27Mw4cPefDggVi99e+2uAsQxjF//nwmTZpERUUF2traeHp6\nkp+fz4ULFxg2bJhCdLu6uro4OjrSrl074uPjKS8vp2XLltTW1vL48WNCQkL45ZdfqK6uVupsKCgo\nICgoCC0tLTExtVGjRkRGRpKUlMSUKVNwd3fn3LlzlJSUiN/BvwFvLO+vEULIwL59+9DR0cHa2prQ\n0FA6deqEubm5yFDRqVOnBh3OwnOrVq1CW1ub1NRUDh06RH5+PqWlpXTq1EnclI0aNWLo0KEKjb+k\npIR58+bh5eWFj48P1tbWmJubU1BQQEJCgspLg+vq6jJp0iTS0tJ4+PAh169fJzAwEA0NDYYNG/ZS\nd+NfQSaT8cUXX4hl0/fv349UKsXd3R0nJyfatm1Lq1atVJJIqaOjI1ZHTEhI4M6dOxw6dAi5XE7P\nnj1p3bq1Qu0KF0f79u354osvePz4MaGhoWzYsIFVq1aJLu9u3bopPQd4Go7l7e1NZmYmjx494tGj\nRwQHB9O4cWP69u3b4PZGjx5NVlYW3333HZGRkXh6euLi4kLz5s1V5jWQSCSsXr2a//u//+PEiRPs\n2LEDQ0NDvv76a0xNTVXWx8v+vaioiPz8fJo2barSC/lFPMUhISEYGBgoFbspeFkOHz6Mubk5Xl5e\noiu7traW27dvNzg3QfCohIeHo6GhwfDhwzl+/DghISH4+fnh4uJCTEzMM/2/CsTFxeHv718vxaZu\nYbXU1FSuXLnC4cOHkclkaGhoiN5NZQsjvQw6Ojr4+/s/4926du0aq1atEvetqjxVRkZGtG3blszM\nTJUVmHoeI0aMIDY2li+//JIff/yR2tpaTExMxFj+FyE+Pp5Lly5hZWWFnZ0dZmZm6Ovr07x5c06c\nOEFKSgo5OTmoqamJXuXXgcTERKUV5OrqakpKSsScpydPnnDp0iU+/fRTbt68yeLFi1U4YuWQnp6O\nVCrFzMyMKVOmsGzZMkaNGoVcLic/P19hYgdNTU3R8yPQsc6dO5eqqiry8/MpLi6moKAABwcHhcde\nW1uLk5MTPXr0YM+ePejr69OxY0ex8rwQw29tbY2TkxOFhYUK9/V34I3w/hohXEwxMTH07t2bzp07\ns3XrVrKzs3FycqKoqEg8FBpqWUlOTiYpKYk1a9bg5ORERUUFlZWVLFq0iPbt2ysd+wyIxZ6CgoK4\ndOkSgGhF7tmzJxKJRKUXsIaGBu3atQMQFQ6ZTEZ8fLzYR33LnsN/1zQ6Opo7d+6wZ88evLy8uHPn\nDmvWrCEyMpImTZqwZ88ejh8/zsSJE5XOdJdKpTRv3pzmzZvTvXt3PvroI6qqqkhJSUFDQ4OKigrK\nysoULtdsZmZG7969Afj444+pqanh8ePHZGdnixZSVcSSm5qaYmpqire3N2+//TbwNNGttLQUPT09\nkpOTsbW1rfe7379/Pw8fPuT+/fsig0F2djaWlpZcvHhR4XEK++/x48fs2LEDuVzOoEGDGDlyJFKp\nVGVCe32QkJAgxva+KghnRHJyMqNGjVLq2xN+e/HiRe7evYupqSmNGjWiUaNG5OTk0KhRI1FQqm8/\nwviqqqqQSCS0aNGCK1euEBERgZ+fH8nJyWII36sQ3iUSCTU1NaSmpuLi4tKg33bo0AFPT0+ePHlC\nbm4ueXl5/Pzzz8hkMjFP41XgRWe/iYnJM2Esyq6TcCYcO3aMHTt2EBUVhbq6OhYWFqJRZsKECWII\noTLzkEqlfPXVV0yaNEmMT/fx8aF58+bAi/N9YmNj2bZtG8XFxcBTHnAHBweaNWuGp6cnzZs3FwkZ\nXgckEgmFhYXk5eUpXJVZWI87d+7wwQcfYGRkhLe3NzY2NpiammJrayt6A/8pTDPCN79161bGjh1L\nbW0t8fHx3Lp1S/yeFLlfhPmdOnWK6upqxo8fLxptFL0Ln4ewfp988glSqZSzZ89y4cIFYmNj6dKl\ni0haUFhYSExMDKNHj1ZJv68Lb4T31whhM7m5uXHr1i0mTJhAWFgYtbW1pKSkUFZWJh4M9f1whQMh\nLy8PPT09SkpKRItQRUUFHh4eREZGPvOsojAxMWHevHlkZ2eTnJzMkydPqKysxMrKSryAVe3yE5gj\n4L/Fd4RDf/v27ejp6TF8+PAGufDT0tJEtgKA1q1bExgYyMKFC2nZsiXvvPMOP/74I3PmzGHbtm1/\noCbAlcoAACAASURBVAprKATGAni6PhoaGiJTxY8//oiWlhYfffSRwmtXW1srupilUqmYEAjw7bff\nMmLECKUsGM/PQwgTsbCwACA8PJxvv/2WtWvX1vvgtba2xtramh49egBPE5gqKiooLy9XaozCpfDL\nL79w8eJFevXqJY5VWQ70+qJuqMjzvOyqhkQiobS0lOzsbJydnVXS5sqVK4mMjCQmJoaCggKKioqw\ns7OjW7du4juvL4RzrHv37uzatYuVK1eKbBvr1q2jsLBQYerJ+iI9PZ3y8nLxm6svJBIJhoaGGBoa\nir9NTU3l4sWLKk+uq4uBAwdiamqKv7+/yOZ1+/ZtUlNTxTBKVZ2zW7duxcjIiI0bN1JWVkZiYiJZ\nWVlkZGRQVlYGKC5ICpSUhw8fFpNufX19GTdu3J/uI7lcTu/evenduzeVlZVER0dz+/ZtwsLCuHTp\nEnv37qWmpgYTExPs7e2ZP3++GPP+KiEo44qGOgrvrHnz5gQEBLB+/XpCQkL46KOPCAwMfEYp+CcI\n7nK5HENDQwIDA9m6dStHjhwBntK8SqVSpk+frnDbwvz+85//oKmpyZQpUwDYtWsXiYmJ+Pn50bVr\nV5VQT+vq6jJjxgxGjhxJSkoKRkZGNG3aVAyPraqqwszM7JmaL/8GvBHe/waMGzeOzz//nDVr1uDt\n7c3u3bu5evUqvr6+Db4chQPBzc0NDw8PNm3ahI+PD3Z2dmRlZZGZmSlaGwVOVUUhXLo5OTk0btyY\nVq1a/UEwUbXw/qJDTND0d+3aJVr8G9KWi4sLWlpanD17VrQkmpubo66uTnp6OqNHj2bx4sV88skn\nXL16VWnh/UUx0cIcjh492qA5vAgvK02dlJTE1q1bRd5gZfH8PIRL/ebNm6Smpv5lYpEg1GZlZbFl\nyxbkcjkBAQGYmJhw8uRJJBIJI0aMUErJFCxAMpmMTp06MWnSpGcUtdcZTxoZGYm9vb3SdJ1/heTk\nZGpra1VWEVhPT0+khquqqhJ5qQGxTHxDhQs7OzvWr1/P0qVLiYmJoby8HDU1NcaPHy9emqoWWOp6\n2vT09OoV1if8Ji4ujjNnzuDl5YWdnR2GhoZIJBJyc3NVTiVbFzU1NUycOJGQkBCOHj3KTz/9RGFh\nIerq6rz33nsqK94jjLtr164kJibStm1bdHR0Xsh3reh7qaioYOrUqUilUvr27SvWWJg2bdqfJikL\nHlwhr8rLy0ukQoWnwtbDhw+5e/cuDx48EOeiiJIhl8ufORte9HthTzx8+FAlyriBgQFTp05lxIgR\nnDlzhtTUVOLi4rCwsFCJh1xVEM7KkJAQMjMzKS4upri4GGtraz755JNnqCMVQX5+Pv7+/vTv3x8T\nExNWrFjB3r17sbe35/z58xgbG6tMoJZKpdjY2LzQC2pra8vixYsbrNz/3XgjvP8N8PX1ZdasWWzY\nsIGYmBiCg4Np06ZNg0vZCwePVCqlvLycqVOnsnjxYmbPns1bb73FrVu3yM7OFt1Digouwnj27t3L\nnj17RAuslpYW48aNY8SIEQq1qyikUik1NTUUFRWJcXMNgZOTEwMHDuTQoUNIpVK6du3K6dOnSUlJ\nYeLEicBT3lehmNKrgDCH/Px8PDw8XkkfsbGxGBoavrKwDWE/RUVF4erq+pdrJezVH374QSx93b59\ne3r06CFaejt27KhU7oQwph49erBo0SJqa2tVVsL7RXj+W63rnYiOjqZ169Yqrzj8PB4+fIixsbFK\nQ4KEOQhjFwSj7du3c/jwYU6cOFHvJOWKigpu376Nn58fGzZs4O7du0RHR2NlZcWAAQNUPmYBwp8j\nIyOxtbVtUC5FWloawcHBXL58GTs7O4yMjMjMzCQiIkIM4XsVnhypVEr//v1p0aKFmHBeU1ODRCLB\nyMhI3F+qUHSEpP/z58/Ttm1b3n33XZXwXdetDZGfn8/27dvx8vISq8POmzeP/fv3i/fdi/D8/L76\n6iscHBxo1aoVLi4ueHt74+3t/ae/+SsIe/pFCpgg0At/VldXJzIyEicnJ6WV8XPnzonc+k+ePOHG\njRvs2bOH3r178/XXX6ss50cZCO9w+fLlBAcHY2ZmhpWVlUhLXFhYyOPHj3FwcFBYgdXX18fU1JQ7\nd+7g4ODA9u3bGTZsGNOnTycwMJDdu3e/Fmu4pqbmH6h+/w14I7z/TRDcgkVFRRQVFWFubi5S5jUk\nnlT4cEaNGsWMGTOYN28eR44c4ffff8fKyoo5c+aIFQcV/ciES3Dt2rX4+fkxaNAgtLS0CA8PZ/Hi\nxairqyvE/awM0tPTKS0tVTgcZOrUqRgaGnLw4EF27tyJqakps2fPFhN78/PzefLkiVIxn3+F9PR0\nysrKVBLSUhfCwXv//n0sLCxe+WUQFRVFt27d/nJ/Cfv6t99+Y9y4cTg5OfHw4UN69OhB165d+e23\n3yguLlY68bm6upodO3aQmJjI9OnTGTBgAC4uLjg6Oqo8qfp5hbju3xMTExk9erTKLMovUhQkEgmR\nkZEiO4mq8DJFPz4+/hmXc32QkpLCJ598gpubGwsWLHgmGVOVjC112ykpKUFXVxc1NTXu3buHjY1N\nvZQooQ1/f3+aNm3Kvn37uHbtGvr6+tja2vL555/TqVMnQPliPXVRN/zxxx9/JDQ0lC5duoiFsequ\nt6rWKz09natXr2JmZsaSJUsICgqiZ8+eWFpa4ujoqHRCrlwux8HBgaSkJLy8vNDU1MTHxwcfHx8x\nSbk+lS1LSkrIzc3l4sWLVFZWIpVKMTExwdHREV9fX4VpWGfOnEl6ejouLi64ubnh5uaGo6Mj5ubm\nz3yzwp8jIyNp2bKlUsp4VVUVmzZtIiMjAzMzMxo3boyVlRWampqiV+ufAIEj/eDBg8ycORMvLy9C\nQ0P59ddfycvLw8zMjMrKSjw9PXn//fcbzAgjKEQmJiZcuHCB5ORkGjduzLBhw7CwsBArqb/By/FG\neH9NqFuW+urVq1RVVaGrq4uGhoZI+da9e/d6CxdVVVVcuXIFS0tLLC0tSU9Px9DQED8/P5ESSZVI\nT0+nqqqK4cOHiwJuhw4dSE9P5+DBg69deI+Kiqq3K/x55ObmcvfuXdq2bUuvXr0wMDD4gxWxpqYG\nJycnMb7+VUCZOdQHDx48wMXF5ZUdgkIyoHAB1ud5mUyGmpoa2traBAQEMG7cOD755BOqq6vJzs5W\nOJ60LmQyGX5+fpiamvL48WPOnDnDzz//TG1tLS1btmTp0qVK9wFPE3aTk5Px8fFBQ0OD/Px8UlJS\n8PLyIjs7GzU1NZUykrxMaIuIiKB58+avtEpgXS9LfRS1unBxcWH//v2sXLmSMWPGMHToUCZPnoyl\npaVKBNGIiAi2bt3KoEGD6NatGxUVFaxfv553330XGxsbnJyc8PHxaZASFRMTw4oVK6ioqBA9V4MH\nD34mVECVIViCV2rlypUkJSXRsmVL7t69y44dO1BXV6dp06a4ubnRsWNHOnXqpJI8CqFmR0JCAtHR\n0Tx8+JBffvkFNTU1hg4diqOjo0LKlTAXgQJx7969NGrUCFNTU/Lz80lISBAtqvXZs3p6eixdupTk\n5GTS09N58uQJ9+/fJygoSAwzaWjIjFwup1u3boSFhZGWlsaxY8fYt28fampqNG7cGHt7e5ydncX8\nIRsbGz777DOsra2VUsZlMhnr16/HwsJCpN7V09N7ZcxFykDgSHd1dRU50vv06cPEiROZPn06Wlpa\nCnOkC2vYv39/rl27RnBwMNOmTaNVq1ZcunSJqKgolRVL/F/FG+H9NWPx4sXExsZiZGREeXk5Ghoa\n6OvrY2xs/IfCN3+G3Nxc9u3bR3x8PDU1NdTW1vLdd99x/vx5nJ2dad68Oa6uriqzuqqrq9OsWTO2\nbt1KixYtMDQ0pKCgAHV1dbFa5auIAX0eda2N1tbW9Z6fcLhHRUXx5ZdfUlxcjK6uLrW1tVRXV1NR\nUUHnzp3F8vU+Pj7s3LnzlVhCFJ1DQxEfH680A8lfQUgGrO/lIxRb2b17N87Ozpibm/Pw4UMuXryI\no6OjSmI+pVIp7733HvBUyc3KyiI9PV207igDYR9FR0ezYcMGoqOjmT17Nr169eL3339nx44dbN68\nGXV1debPn68Sd2xubi4nTpygb9++WFhYUFFRwdWrV+nWrRvq6upIpVJatWr1yjmuq6urSUtLU2hO\n7u7u7Nixg5MnT/Lrr7+yceNGhg0bprTSUVpaymeffYaxsTErV66kY8eOlJeXc+rUKfT19QkICGDa\ntGl/6Smom1Auk8mYO3cuEomEDz/8ELlczvnz55k4cSKHDh16JQr9816pyZMnU1lZyZEjR1izZg0+\nPj5UVVWxbds2bt26xYwZMxQOkxL28KNHj5BIJPTo0YNhw4Yhk8nIyMggKytLKSVauAOEIoQJCQkE\nBASgrq6ORCKhqqoKIyMjDh06hJGREU5OTjRp0uRP7w49PT3c3d1FT6ivr+8zjFoNhUQiYfDgwfTq\n1YuCggKys7NJT08nIyOD1NRU0tLSiI6OpqqqCm9vb7766is6d+6sUF/wbJGnKVOm0L9/fxYuXCiu\n8+u4OxsKqVSKkZER165dE5VWGxsbfHx8CA4O5vvvv8fOzo4ZM2awb98+5s2b1+A+HBwc2LdvHyUl\nJeI5cOHCBdzd3RskD/3/iDfC+2uCcCnExMTw/vvvi5naVVVVpKenU1JS0iCeXWNjY6ZNm0ZRURGH\nDx/m7t27WFtbExcXR3BwMHl5eVRXVzN27Fi+/PJLpdzTcrkcc3Nzpk+fzvLly5k7dy7t2rXj0aNH\n/P7773z44YcKtfuyvuozzoZalYXLOSQkhPT0dObOnYuenh4ZGRlUVlZSU1MjJqwIB+mrdmG+Ksu4\nwECSk5PTYHq8F+HP3kl0dDQGBgb18h4I8efTpk3jyZMnBAYGUltbS0BAAFpaWkyaNEmpcQpCyf79\n+9m2bZt42Tdr1gxnZ2c8PDyUjlcV+jh+/DhpaWmYmpqKrDampqaUlZXx22+/MWDAAIYPH65UXwB5\neXnMnDmTzMxMwsPDWb16NUlJScyePZv169fTuXNn5s2bp7Jk1T9Deno6FRUVDbYS1tbWUlpaKlaR\nrqmp4cCBA4SGhrJlyxaF6ikI7+Hhw4cUFBQwbdo0zpw5w71790SP2o0bNwgICKiXlbru/o6Li+Px\n48f89NNPohezX79+jBw5kr1797JkyZIGj7c+/ctkMgwMDESWFy0tLUaNGkVERAS5ubnMnz+fsLAw\n/vOf/2BhYcGUKVMUEvgEReHs2bNcuXIFQ0NDLC0tsbW1pWnTptjY2IiJscoohBMmTGDChAnAUzq+\n2NhYYmJiiIqKEvnMq6qqsLCwYO/evX9IYBXOnd9//52amhrRGKWrq4uxsTFpaWniXBTNP9DV1UVX\nVxdra2uRvKCqqoq8vDzS09NJT08X7wFl7lDhd127dmXZsmUsX76cgQMHEhAQwKBBg/5RlVXh9XOk\n1zXaTJ48GUNDw1fK0vW/gDfC+2vG6NGjiYuLo7q6mqqqKnR0dBS6eLW1tcVY9vPnz+Pq6sqCBQvQ\n0NCgtLSU4uJicnJyxENY2YNHJpOhp6dHQEAAZ8+e5cCBA+jq6rJo0SKxup0qLAfCGIXxvswdmpCQ\nwMiRI+ttVRaec3V1FSnG6hb3qGv5UKUF5EXjF+YWGxur0pjoukhJSUFNTU0lQt2L9o0wh/DwcLGA\nyp9BSLLLzc3FzMyMlStXcuHCBW7cuEFhYSGDBg0S+eMVRd3CVSUlJcTGxnLjxg2Cg4PJz89HXV2d\nb7/9VvxuFIGwFhEREbi5uTFy5Eg2b95MXFwc9vb2VFdXi3SXyljThH1z9+5dUlNTGTp0KLdu3SIv\nLw8bGxu6dOlCUFAQ/v7+Ik3rq4bA2tLQYj7r1q3j3r173Lt3D319fXx8fBg+fDjm5uZKJ9mmp6ej\nra2Nh4cHjx8/5sSJE7Rr146cnJxnOOb/TEHOzMykoKBArGUgFNaqK1BVVFTg4ODA48ePgVdjKZVK\npXTv3p0DBw4wcOBAsV6Hra0toaGh2NnZYWdnR2RkJOfOnfvTIkf1waBBg3BwcCA+Pp6MjAzCwsI4\nduwYtra2bN68WWmBMisri/z8fKysrNDV1RVZY+q2m5GRQVxc3AuVf+H9XbhwgYiICGxtbbGxscHQ\n0JCIiAjS0tIaXHfgeQjfWVpaGuHh4ZiYmNCiRQssLCxo3LgxhoaGKlFkBMjlcoYMGYKXlxdr1qxh\ny5YtFBQUMGTIEExNTZ/xAP2d+Ds50lWdA/a/ijfC+2tA3ZCNa9eu8fDhQ1asWIGhoSHw9CIwNDSk\nffv2DaIlFASot99+G3Nzc5Fm8kVc24oebkIfa9as4dGjR2zZskUsCrR9+3ZsbW1VZjWorKwkMTER\nLS0t0br3/LglEgllZWWkp6c3iNdaOAx1dXWpqqpizZo1zJ49G1dXVzQ1NVV2Eefk5HDr1i3kcjn+\n/v7o6en9QXFSU1OjvLycsrKyer/vkpISamtr0dHREQWRujRnwjoJ/dy5c4eqqiqFw0QE4WTFihVc\nunQJb29vAgMD/9BeTk5OvZK4hDX46quviI6O5ssvv2Tw4MEMHjxYofH9Gdzc3HB1dRXd4Xl5eRw6\ndIjs7OyX0tPVF8I+sbOzIzw8nMDAQOLi4igrK6OoqIjc3FxxXyqjlAmXeExMDAYGBgwdOpTs7GxO\nnDjB+++/T3l5uUhZKJPJVPYNvkh4EM4vRVhbCgsLuX//Pk2bNuW9997DysoKbW1tpS/ousq4uro6\np06dolGjRjRu3JgrV64QExMjMtn81Xu4dOkSx44dw8LCgiZNmmBoaEhpaSlBQUE4Ojqio6NDUlIS\nSUlJIsPJq2KaEZS0GTNm8Pbbb1NeXs7Zs2fFkI3S0lKVeeqE4nEC0tLSWLNmDUVFRQqHrwl7JS4u\njmXLlhEZGUl5eTlyuRxdXV0MDAzo27cvs2bNQi6XY2Vl9Zdeu5EjR+Lh4UFERARRUVFUV1eLhiOB\nqUsZrzI85bs/evQoZWVlaGhoYGxsjL6+Ptra2syYMYPOnTurJLla+L2TkxNz587ls88+4/vvv+fy\n5cssXLhQDEn7pxRp+l/lSP9fwBvh/TVAOCAOHz5MTk4O77zzDgkJCZSUlKCpqSnSEpqbm+Pm5lbv\nD1c4CJSJxatPHzKZjEOHDjFp0iSRHUBNTY0bN26QmJjIggULlE6Wy8vLY8uWLWzbtg146qGYOXMm\ne/fupbCwED8/P9HCL5fL+eyzzxSiidy5cyclJSWEhoby2WefMWDAANzd3WncuDGenp5KHZipqaks\nX76cixcvIpFIsLKy4ptvvsHPz098p0IhFCcnJ+bPn/8Mf/GfYdOmTcTFxdGsWTMcHBxo2bLlH2i6\nIiIi0NPTo2nTpnh4eBAYGKjwJSy0e/z4cbp06YKNjc0LGS+GDRuGnp7eX66b8P+ffvopq1evZtq0\nafTs2ZPJkycrXLFQQF36vNraWqqqqtDS0sLY2Fh0vebl5bF27Vql44QFjB8/nlmzZvHDDz9gZ2fH\n1atXuX79Oo6OjmJcrjIXvbD+9vb2ZGRkkJOTg4GBAXK5nKioKJKSknj33XefebahOHToEJWVlTRv\n3hxnZ2cMDAz+MOa6Bcbu3buHo6Njg4RHQ0NDNm/erFJWmbpjc3Nz49NPP2Xp0qWUlpZiYGDArl27\naNOmjejJ+au9OXToUFq1aiVyhwcHB5OTk8Px48d58OAB9vb2JCcnU1hYKNZMeFWClaOjIz/++CN7\n9+7lypUrlJeXM2bMGN555x3gqYEjJiZG6bj70tJSSkpKMDExEd+njY0NFhYWZGVlAYrzpsNTb/CN\nGzeYPn06Xl5eVFZWUlBQQEpKiugNFBJb/2pvNG/eHDs7O7p3746BgQFSqZTi4mKVFMoS5nf+/Hkm\nTZrEgAEDxAJVy5cvx93dXbTuq2L/5uXlkZSUxN69e4mOjqaiogJ3d3eysrIYOnQoY8eOZcKECQ2u\n9/Iq8b/Ikf6/gDfC+2uAcLn26tWLu3fvMmHCBNHyVFJSwpMnTygpKRGTV/4JGjf811qalJREZWWl\naKWGp5ZZT09PTpw4oRKWizNnznD27FmWL1+OhoYGq1ev5uHDhyQnJ2NlZcX+/fsZO3YsgYGBNGrU\nSORjbyjmz59PWloaMTExXLt2jX379lFYWIivry87duxQag6nTp0iIiKCLVu24Ovry0cffcSaNWvw\n8PAQrZWXL19m9+7d7Ny5U+SLrg+aNm3K5s2bRat+WVkZjRs3FvmO27dvz5w5cxg8eDABAQEiJZsy\nqKysxNnZmTZt2rzUQt5Qi4u9vT0rV67k4sWL7Nu3j3Xr1jFx4kTc3NwU3kd1i0dlZmaye/duPDw8\naN68Odra2pSXl3Pnzh1kMpnCF3Ddb1Iul9OsWTNmzJjB+vXrSU9P58qVK9jZ2bF8+XKV1gbo168f\n169fZ9asWTRq1AhLS0uOHDmCsbGx0pVJb9++TVBQEMXFxejr6+Pp6Ymfn5+YK2BiYvIMHW11dTUe\nHh716k8Q/O7du8evv/5KdXU17u7u6Ovri96z1q1bK5xwCP8Vpvr27UuLFi0IDg7m/v37qKurExAQ\nIMbS/9U719bWFqkChW+yurqa/Px8kpKSiIiIoKioiCdPnoiem1dxRufl5XHx4kWqqqpo27YtQ4YM\nwcLC4pn9pK6uLvKcKwLBo3bmzBkOHTpEu3btaNWqFVZWViQnJxMUFCQaFBQR3oXnmzRpgq+vL336\n9HlpToOwr170foS+k5OT2b59O+Hh4eJ95O/vr/D5/zwE45SmpiYlJSXPCKkJCQkEBQUp/T3XvUcX\nLVpEaGgoVlZWdOnSBU9PTzp06ICVlRVbtmxh165dXLlyhQ8++ICRI0eqYoqvFP9WjvT/BbwR3l8j\nEhMTKS4uZtmyZcyaNQtnZ2f09PT+UVXV6kI4VE1NTWnVqhUrVqzA3t4eOzs7kfJLcHkqGwN69epV\nfHx86NmzJ9XV1WzYsIHy8nLWrl1LmzZt2Lt3Lzt37qR37954e3vXix/4RbC2tsba2po2bdowduxY\n4GnYgcCYowwePHiAl5cXnp6eaGtrM336dKZPn865c+fEQla///47UqmU6urqBoU69O/fn5MnT9Kh\nQwfeffddoqOjuX79OpGRkZw6dYpt27ZRUFAghuEIFQqVsRZpamrSp08ftm3bxltvvYWZmdkfnlHk\ngtfQ0KBPnz4UFxezaNEizp07x1dffaVQgmdERASRkZHY2dnRrFkz4uLiCA0N5eeff0ZdXZ0mTZqg\no6NDbm6uwgWBhPhaLy8vbGxsxDXt1asXvXr1Ii0tjcLCQoyMjFRCdfk85s2bh5ubG7du3SI6OhqJ\nRMLXX38tJiMr+o6XL18OPI1NDgsLY926daxatQodHR3Ky8vR1tbG2dkZd3d3Fi1a9Eyo319BsMBu\n2bKFuLg4zM3NiY2NxczMjLt37yKRSFi6dCmurq4N2kOJiYnMnz+fDRs2oK+vT0ZGBlZWVtjZ2YkM\nQ6qAuro6ZmZmmJmZ4evrq7J2/wxTpkwRObRlMhnl5eXk5uaipqbG0aNHsbCwwMDA4E+LG/0VhDPa\n2dkZR0dHLly4wK5du6isrERbW5s2bdowatQoQDkFRVdXl5s3b3Ls2DFGjBghMnpVV1fTuHHjv/SA\nCXti9+7dXLlyhd69e+Pi4kJmZib79u0jMzOTRYsWqYRUQFAITp06xSeffCLSBldWVpKQkICmpqZK\nklVLSkpwdnbm448/pnnz5s94DuRyOR9++CEdOnTg4MGDovfjDd7gZXgjvL8mlJeXExoaip6eHqGh\noRQWFuLg4ICtrS2WlpYMGzbsb09SeRmMjY357LPPWLBgATNnzmTQoEHcv3+f8PBwZsyYoZI+5HI5\nxcXFVFdXY2hoSGZmJnPmzBEtu61atWLTpk0UFBQADbtYBMUiJCSEDRs2UFpaio+Pj1gVNDIyknbt\n2omx/IrC3d2do0ePUlJSgpGREW3atMHb25szZ87Qr18/dHV1efToEb6+vvWuTilAQ0ODWbNmERMT\nI5YM9/T0pLi4mMrKSvLz8xk8eLBKvDfCxXns2DEWLVoEwIwZM+jWrRtNmzbFxcVFtKY1xAr7+PFj\nbt++zeXLl4mKisLExIR27dqRm5urMFvB/fv3OXjwIHK5HFNTU1q3bk1AQADa2toUFBSQlpZGbm4u\nI0eOpEePHgr1ERYWxg8//EBlZSU6OjqiouDh4YGXlxcuLi4qq2IrCAmFhYWcPXsWY2NjevXqxdix\nYxk1ahSFhYUvzGlRBDU1NQBYWFjQtGlT5HI5Y8eO5YMPPiA7O5tr166xbt060dreEFaYuoVtRo4c\nSUBAgFiQbvXq1ZiamopMLg3Zq9ra2gwaNAgTExNiYmKYPXs2Ojo6ODo64uzsLJ6nzZo1+8caRV6E\n/Px8YmJimDNnDm3bthWL0AmVVeuGUagiBKmuZ05QFJKSksRKmqDYGSKM6/vvv6dp06Zs376d9evX\no66ujoWFBebm5ri7uzNnzpw/tWgLfT969IiOHTsyd+5c8f/MzMzYvHkz0dHReHl5Kb0eGhoaDBky\nhPPnzzN69Gj69u1LamoqISEh9OzZE/hviI8y8PDwoKqqClNTUwwMDKisrOTixYt4eXmJ35a7uzsL\nFy5EJpMp1dcb/O/jjfD+miAkvqSnpyOXy0lOTub27duEhITQrl07sVDTP1WAb968OUuWLGHPnj3s\n2bMHTU1N5s2bJx5uyh5sAwcOZM2aNaJQu3z58meKTcXGxlJcXCzG1ilysezevRs1NTVat25NYmIi\nt2/fJiEhgbZt24qWcWUShfr168fOnTu5d++e6F6fOnUqo0aN4uzZswwdOpTU1FTGjBmj0Hv29PTE\n09NT/LuamppoCRV46lUReyjMv0+fPlhYWBAdHc3du3f5+eefycnJoby8nC+//JKxY8fWa88Kn91J\neQAAIABJREFU/3/ixAl27txJ586d+fjjjzEyMqJJkyZKuV3feecd2rdvz6NHj4iNjeXkyZM8fvwY\nbW1tLCwsxEqRgjCkiKXunXfe4a233iIjI4OkpCRiYmJITk7mwIEDbN26FS0tLUxNTXFxceHjjz9W\nyvourGdISAgLFy5k+PDh9OrVi8TERC5evIi2tja9evVSSUysVCoVBfjLly9TUVHBxIkTsba2xtbW\nFlNTU27cuPFMjHJDqj9XV1djb29PREQEAAYGBhgYGNC9e3eWLVumkOJvZWUlMltYWVnx8ccfEx4e\nLoZ8VFVVIZfLGTVqFCNHjvxHn6l1IZVK6dixI3fv3mXs2LF/SvGqivmkpKRw6dIlCgsLMTMzo1On\nTvXOv/krCDTFXbt2ZdasWeTn55OXl0diYiLJycnU1NT8ZSiKsM+6dOnCxYsXycrKEve8vb09mZmZ\nonKmivXw8vJi586drFu3jkuXLqGpqcnAgQNV4oUQvpuvv/6a48ePo6Ojw/79+7GxsWHLli106tSJ\n2bNni88LReze4A3+DG+E99cEiUSCi4sLTZo0oaCggA4dOvDee++Rk5PzSpgLXgVcXV35+uuvXwlN\nWpcuXaisrBRDSQSlAODWrVt89913+Pn5KcQJLRy8CQkJ9O/fn5kzZ4r/t379eqKiosSLQZlD2s7O\njv/85z8iVSA8FbhHjhzJihUruH//PlVVVQrTN75MeKqpqaFJkyZs2rQJgLKyMuRyudKc5lpaWmLF\n3vHjx4ttC8mT9YVwuU6bNo1+/fpx8+ZN4OklrCwPvYaGhlgFEZ5ydBsYGDB//nxSU1OJjIxk+/bt\nuLq6ikl/DYW2trbYx1tvvYVEIiE/P5+srCxSU1N5/Pgxjx8/prS0VGnWF2Gt1NTU6N27NwEBAcTH\nxxMYGEhKSgplZWUEBwfzww8/1DuEpT791dbWoqGh8YzFT1NTk7KyMvLy8oCGM6yoq6szYMAAvv76\nay5evCh6PkJDQ5FKpejo6CgkXAu/yc7Oxt/fn/79+5Obm0t6ejpZWVk8efJEKTrQ1wlhLvn5+ejp\n6XH69GnWrl3LkCFDMDc3V2mtCaGvlJQUAgMDefjwIZaWluTn5/PNN98wefJkpk2bpnQ/goIZEhJC\nQUGBWAVcSOSuLwoLC9m4cSMlJSV8//33uLu74+joSEhICObm5g2mLH0ZsrKyiIqKwtjYmMDAQCor\nKykpKcHOzk78xpRREIQz++jRo8yYMYOTJ08SFxeHjY0NnTt35rfffmPSpEn/Kk/RG/z9eCO8v2LU\npYncvHkzsbGx6OvrY2FhwZgxY56Jp/w3WIhAtTzoAvT09Bg2bNgf/r20tJTQ0FB8fHwaXNa+Lo1i\nTU0Nzs7O/P77788I7w4ODuzZs6fBYSwvw4viqufPn4+pqSnnzp3D3d1dYYH1ZYqFwNggMK5s3LgR\nPT09PvroI6X2VF5eHjt37nzmomnTps0zykdD2hc8N1ZWVpiZmbFv3z4GDhzImDFjlBJ6BWUyPj6e\noKAgNm7cKJbzHjBgACkpKejp6alE2C0pKWHr1q1MmjRJTHKEp56P4uJipXnLhfX08PDgp59+AmDf\nvn1ERUWxadMmJBIJ//nPfwgLC8Pf319py3LdMuXHjx9n7969jB8/HhsbG37++WcyMjJED5gi/fTp\n04fr168zdepUbG1tRTYgIeFQmXCE9evXi4Kor6/vC9f+33Km/vbbb4SHhyORSPjpp5+4desWvr6+\nNGnShA4dOqjE0yKs9dWrV4mPj3+mCNWePXvYunUr7du3V5j2T/gOg4KCCA4OJi4ujqlTpzJ+/Hjs\n7OwwMjLCxMSk3kKquro6s2bNIjExkfv37xMSEkJhYaF4rs+YMQMHBwfc3NzEpE9FsGTJEq5du0Z5\neTkSiQRjY2OREnHJkiUqYbVJSUmhsrISOzs7RowYwZEjR/D396dx48akp6e/EdzfoMF4I7y/Jixd\nupTMzEx69OiBnp4eDx8+ZNy4cXz33Xf069fv7x7e346XCSGNGjUSq9ECYmJpfazKdYVdqVTK6NGj\nmTx5srjmmpqa3LhxAwMDA3R1dVXiYn++Dblcjrq6OlOmTGHKlClUVFSIFSeVtYzXRd0+T548Sbdu\n3ZQW3D/44AMKCgpo0aIFERERHDt2jIEDB/L55583uL3k5GT27NnDZ599xvDhw0WGllWrVuHg4CDS\ngCoC4T0/efIECwsLMZG5pqaGmpoa7OzsuH79usLt19bWUlZWhp6eHpGRkRw4cIAxY8agq6srPqOt\nra1SV7e9vT1lZWVs3LiR06dP06NHD9q0aUNCQgL5+fkvTB5WBjY2NkyZMoWffvqJ69evk5+fT25u\nLp9//rkozClCG6inp8f333/P8OHDuXv3LjU1Nbi7u9O9e3eFBXdhX3/wwQesXr2acePGMXjwYGbM\nmKEya+zrgjCXsWPHMnDgQLFY0LVr1zh9+jQymQxXV1csLCyUPp+E3+bn52NqavoM176/vz/79u3j\nxo0btGnTRiHvqvC8jY0NrVq1omnTphQUFPD999+Tn5+PtbU133zzTb1ZsBo1aiSSCgjIzMwkKSmJ\n2NhY7t27x40bN9i/fz+9evVi1apVDRovPD3nLly4wLx58xg0aBBpaWmkpaWRkZFBSUmJSgR3AY6O\njmIM/6+//kpFRQX3798X82VehUf7Df538UZ4f8UQLrz79+8TGBgoxtDBU4vs7t276dKli0oFuX8j\n/uxSqmtB37RpU72syuHh4dy5cwcnJyccHR2xtLTE39+fpUuXcvDgQRISEkhLS+PJkydi7K0qi3A8\n/3dhDtra2qxatUollvEX9V1TU0NhYaHC8at1Kf7S0tL49ttv6dixI2pqapw+fZolS5bg6upab2aY\nuq56U1NTvL29MTQ0xNDQkObNmxMWFiZ+A4pCWEN7e3uaNGnC4cOH6dixI1KplGvXrhEaGkrbtm0b\n3K4w9jt37nDu3DmMjIyIjo5GU1OTmzdv4unpib6+vsKFsP4Kn376KZ9//jlaWlp8+OGHaGhocOrU\nKZEFBlRrWe7fvz9t2rQR6Ujd3d3/UEugIaibx+Pn50fbtm2faWvPnj00adIEf39/hdpv0aIFW7du\n/X/t3Xd0FeX28PFvclIhvTfSC5BCCxCk96Jw6UiVLiJeREXFgkoRAbuAtAt6aSJVikgRpbcAocUQ\n0nuBENLbOef9g3fml1iu5JSQ4PNZ6667JMm0M2dmz55n74ejR4+yfv163nrrLaZOnUp4eHi9m27+\n7+Tn51NRUSG/zfmzNoHaftbVa1l27drFN998I/cUj4uL4969e/LkeNpo3bp1jVl/S0pKuHnzJvHx\n8XIt0KNea0+dOsWVK1ewtramTZs2hIaG4uLiQvv27eV5DqqqqqiqqtJoW83MzBgxYgRpaWnY2tpi\nbW1do65IV5o0acKwYcNYuXIlly5dwtjYmBkzZpCRkSHvhyDUhgje60BhYSFBQUGcO3euRvAeHBzM\n0aNH//GB+98xNDSUx9s+alY5Pj6eQ4cOyVOjW1tb4+bmhpOTE0FBQRQWFtKrVy969+4tD33QZ399\nTfZBE1JhprY34YKCAqysrHB3d5cncenVqxe7du3i8uXLDB8+/JEyRdI+enp64uTkxK5du+ShYqmp\nqRQUFOikU4tarcbZ2ZkXX3yRefPm0a5dO3x8fEhPT6dZs2Ya9UyWtv3evXvcvn2be/fukZmZiZGR\nEWvWrMHGxgYzMzMaN26Ml5cXw4YNw9PTU+t9kQwYMIAePXqQm5tLkyZNyM7O5tSpU4wcOVLr9nW/\nd+3aNbKysujbty/PPPOM3NZW20xg9e2ThndJGfcVK1Ywc+bMWgfv1fe7vLyc3r17y0XUUVFRLFq0\niAEDBmi13XXp7t27vPLKK1y5coUmTZrg6+uLm5sbhYWFVFZW8sknn+h0fX5+fsyYMYN169YRFRUF\nPPz8hwwZIs8doM3nnpqays8//0x+fj7Ozs506tSJdu3a1XiA/rtkjaGhIUuXLmX//v1YWVlRWVnJ\nxx9/TI8ePVi8eDGWlpbyeWBkZFTrtsHVO2BlZGRw5swZQkJC9DLjs7SdEydOxMvLiz179pCYmEhV\nVRXjxo2TmyXUl/ldhIZBBO96plarsbS0ZPLkybzzzjvMnz+fAQMGUFBQwJYtW+RX0uKV2f9W26zy\nwIED5Q4ht2/f5ubNm6SnpxMfHy8HXGlpafz88884OTnprP2eLvdBE7dv38bCwkLj8Z/SDaRz585s\n2LCB+fPn89prr9GkSRMiIyNJT0+vdZZcrVbTpEkTpk6dyvvvv0/Xrl0JDg4mKSkJY2PjWk1W9Vek\nLG9ERAQHDx7kyJEjJCQkYG1tzZAhQ7T6fPv16ye3Ee3bty/h4eGEhoaSnZ3N3bt3ycvLIyoqimee\neUbeX22D6qKiItLS0rCysqrRlnP69OlysKvtOqRrzuHDh9m8eTMZGRkYGxvTo0cPDhw4wOnTp1m9\nerU8S60uSJM+FRQUUFRUVOuHTGmbIyMjiYyM5MaNG1y9ehULCwvCw8OpqqqSh9bV92uqFEBevHiR\nhIQE3nnnHQoKCkhKSuL06dMUFhbKQ9R03TVn1KhRNGvWjHPnzlFRUcGUKVNo164dNjY2Gi3vz4ph\nXV1dycvLY/HixUyfPr3G8Mf/RboGfffddzz77LOMGzcOW1tbYmNjeemll1i7di2zZ8/WanJA6VjG\nxcVRUlKCk5MTb775Jt999x3t2rXDzs6OPn36aD1vg3RcduzYQZcuXejevTtt27YlKysLe3t7LC0t\n5f1oKPUZQv0ggnc9qz6hi4WFBZs2beLtt98mLy+P3r17M2fOHEA8dT+K2mSVjY2NcXZ2xtnZmZYt\nWzJq1CiUSiVFRUVkZmYSExNDZGQkZ86c0WhyIE3pKjP+e9JN4saNG7i5uckzumrKwcGBpUuX8umn\nn/LRRx9ha2vLtWvX6NChgxzI1qZtoFqtZsCAAbRs2ZIDBw5w584dwsPDGT16tNZTvVdfDzycIEbX\nGTTp+JqbmzN+/Hj5bQ08DMJyc3Pl4TPa3ISlgHPnzp18/fXXPHjwADc3Nzw9PXFwcODu3btUVFQw\nePBgrQM66U3Qzp075aDtypUr9OjRg+DgYA4fPkx0dDQdO3bUefCYkJCAgYFBrd+6SMH4qVOn2L9/\nP61ateLtt9/G3t4eR0dHuetQ9d+tr6TjLz1kdurUSR5WkpKSwjvvvKPzdZaUlHDkyBFMTU3p378/\nYWFhGk94V92jFMN26NDhkYths7OzMTU1pWnTpvI50rJlS4YPH87+/ft59dVXNd7W6vvbrVs3AgIC\nyM7OJj4+npiYGG7evImBgQFPPfUUoN2Dk9Qy9b///S9XrlxhyZIlWFhY4OXlxcaNG8nMzOStt96S\n324KwqMSwbseSV/6+Ph4fvrpJyorKwkPD6dnz560aNECCwsLuYuAeOr+e9pmlRUKhTzeumnTpnp5\nRfp3tN0HyV/dUKKjo/H399foZiDNygoPh800b96ct99+m/Pnz5ORkcHQoUPp3bu3Rpki6Xfd3NyY\nNm2a3BmnvisuLiY3N1fusLNhwwbs7OxqdPcxNDTUSTeQ6nbt2iVn/KUi1U2bNhEREVFj/gNtSMFt\nYmIiQ4cOpXv37ixbtozc3FxcXFzkAEqXpPP21q1bODg4aJzVnzNnjpz4qK6+Z9urk7bT19eXrKws\nUlJS5ODdwMCArKwsefIybR+eqneC2bhxY42ExdGjRzl48CALFizQ+A2Vrothra2t6dq1K5988gnu\n7u74+vpSUlJCRkaGnJjQ5LNWKpWsWbOGCRMmYGlpKc890KxZM7p160ZxcTE5OTlUVFTIc2Zoe9yN\njIyYPXs2c+fOpWvXrpSUlLBixQrKysro168fxsbGDWY+AqH+EMG7HknZiHnz5pGXl4erqyulpaWk\np6eTn5+PsbExu3fvlovPhD+n66zy46CrfaioqMDExOQvL/SJiYmMGjVKo8BY+pv4+HjGjBnD9u3b\n5UmOdMnAwKDe36ikz+vcuXOcPHmSBQsWUFxcTGlpKffu3cPOzk4vDx9SMFJSUoKlpWWNYN3a2ppf\nf/1V7mqjq+LqkJAQjh07xujRo0lJSUGlUhETE0NVVZVeCmPh4cyrXl5eGtf75OTkcPPmTTIyMjA3\nN6dFixb4+/s3iMBdevCT9O/fn//85z+88847zJgxA39/f44dO0ZZWRmhoaGA9sdfWt+PP/6It7c3\ngwYNkn9maWlJcnIyN2/epEuXLhoFkrouhjUzM+PFF19EoVCwfv16edheXl4eb7zxRq22rbqMjAzO\nnz/PuHHjyM3N5a233sLPz4+2bdsSFhaGo6Oj1te70tJSjIyMMDY2ls/HXr16MWrUKF5++WWaNGlC\np06dmDRpEj4+PlpNDCj8c4ngXY8UCgWVlZXExcXx8ssv06NHD/Lz86msrMTU1JTGjRtrNOnQk04f\nWeW6po99qKioYOHChSQmJtKnTx8mTJgg/8zAwIDi4mLS0tI0KgBNSUkhKiqKwMBAzp8/j7m5+T+6\n97D02dnb28uv+vfu3cvixYtp0qQJISEhhIaG4uvri5eXl8YTb/2ZyspKIiIiOHLkCK+99pr872Zm\nZkRFRemkX31106dP58033+Tdd9/F1dVV7ojRsWNHjcdA/53bt2/Tpk2bWn0PpO9UWloa8+fP5+zZ\nszg5OWFmZoZarWb69Oly8V999mcPr6tWrWLRokVs2bIFIyMjMjIyGDt2LEFBQfLfaEMKIg0NDcnK\nyqrxkGNra0tubq78b9pkgXVZDFtUVIS5uTmxsbHExcXRq1cvBg8eLA9Zq+2DmlR7s2nTJuD/Wsue\nOXOG7777jrKyMqysrHBycmLkyJE1rq+1cejQIY4fP46dnR1ubm64uroSFhZGmzZt2L17N8OGDWPG\njBny74vAXdCECN51rKqqigcPHlBVVYWVlRXl5eV07NiRa9euMWHCBPm1qPBH+swq1xV97IN0M71+\n/To7duxgypQpcj/r6jdac3NztmzZUqs3OdLfx8bGsm3bNoqLi7l//z4lJSXMnTsXHx8fPDw8CAoK\nIiAgACcnp0de9pNAmuwJoEePHgQFBREZGcmlS5f45ptvyMvLo6Kigq+++orevXvr5PW3sbExI0eO\nZP/+/Tz33HMMHTqUoqIi9uzZQ5s2bYC/nm1XE82bN+fNN9/k22+/JSsri6ioKJ566il5zLUuX+lL\ny0pOTmb06NG12gfpTebRo0flmXM7dOhAXl4e69atY+3atYSFhckBb32UkJAgZ5L9/Pzw9vbGzc0N\nZ2dnPvnkE6Kjo8nPz5d/rivS5/fiiy8yefJkPvvsM8aOHYuXlxcnT57EwMBAPm7anlfaFMNK58fS\npUs5ePCg3Oq3qKgIAwMDeSiLJudk9dal8PDBfNGiRcDDMfYJCQnEx8eTlJQkJy40GZpjbm6Ok5MT\nhYWFREVFcebMGbZt24aNjQ1KpZLz58/j5eWFm5sbzZo1a3BtTYX6QQTvOvbzzz+zZs0a7O3tcXV1\nJTAwECcnJ/bu3cu3335Lv379sLKy0tmMnk+K8vJyFi5cSFJSks6zynVF3/tQUVFBhw4dGDRoEAEB\nAahUKnnctYGBAYaGhnJw96ikG1nLli2ZMWMGxcXFLFu2DC8vL2xsbEhOTuby5cvcu3cPgI8//piI\niIh/5BjNKVOm8PrrrzNjxgxmzJhBRUUFhYWFcks8XVGr1bRo0YL169ezcuVKNm/ejEqlwtHRkeef\nf15n64GHwygsLCzo0qULTz31FNnZ2RgbG2NhYSEHFZp8zkqlkqysrBrnuvTAkZ2dTWlpaa2HJ1Rv\n3enh4SG35bSzs2P06NEcOXKEkydPEhQUVG+HIhQVFZGfn09CQgJHjx5FoVBgaWmJk5MTgYGBNGvW\nDD8/vxqtEHVJelBbvXo18fHxGBgYcPHiRV5//XUcHBy0Om66KIY1MDCgvLycrVu3MnXqVHr27Ila\nrebWrVssWbIER0dHJk2apFUBaXX79+/H1NSUVq1a0aFDhz/Uk2gyDKt///7079+fwsJCcnJyyMjI\nIDU1lbS0NMzNzUlJSeHrr7/Gw8ODxYsXi+Bd0IgI3nWsefPmDBkyhISEBBITEzl//jwlJSUUFxfz\n6aefcvnyZby9vWndujUdOnTQeUFYQ1N9LPjOnTt1mlWuK3W1Dy4uLhQUFHDq1Km/zC5qesN3cHCQ\nWxB+/PHHjB49mt69e1NcXExhYSH379/nwYMHNG/eHPhnFFhXVlZy4sQJXFxccHFxISUlpUZgY2Ji\ngr29fY1JmnR1XHJzc2nXrh3+/v7ExcWRnJxMz5495YJCbQPTsrIyzMzM+PbbbwkPD6dLly4AWj2E\nVG8XuHXrVhITE5k9ezbNmjXj+++/59ixY6xevZry8nIGDx5c65740j53796dvXv38ssvv8gT3CQm\nJlJQUFDvhyGGhoayYMECsrKySE1NJSUlhfT0dLKysjh06BA//PADpqamuLm5MXnyZMLCwnQexA8e\nPBhfX18OHTqEWq1mypQpcmcVTc4rXRfDZmRkYG9vT1hYmHy9CQ4OJj4+niNHjjB58mStHjKk47l+\n/Xo2bNhAVVUV7u7uBAUF0bRpUzw9PeU3jpoMb5SWb2lpiaWlZY03KEqlkuzsbO7cuUN+fj62trb/\nyESIoD0RvOtYkyZNGD9+fI1/y8nJIS0tjRs3bnDz5k3OnTvHt99+y8qVK+nUqZP48vIwUNJ1Vrmu\n6XsffvjhB5KTk/n888+JiYmhefPm+Pn54evrKwct2rYOrKys5IUXXqB///5YWFjobcxzQ3D37l22\nbt1KfHw8SqUStVrN559/zokTJ/D396+RJdUF6Tqwf/9+Vq9ezVNPPcXbb79Nu3bt2L59Ow4ODnTv\n3l3r9axZs4b8/Hz8/PxITk4mKCiImJgYbGxsaNSokcZTwkvDWn744QdOnz7NgwcP2LlzJ++++y5W\nVlYkJydz6dIl2rdvz4cffqjx9rdp04ZJkybx+eefs23bNiwsLPjtt9/o06cPERERQP0dR2xgYICD\ngwMODg41ZvKUOqlI7Qrv3LkjF5nq494QFhb2h7kmYmJiAGq0QX0UuiqGlQJylUqFs7Mze/bsITQ0\nFGNjY8rLyykoKJCDaW0+Xym7//XXXzN16lTCwsI4ffo0O3fu5Ny5c/j7+2NoaEhYWJjcY762y5dU\nL042NDREoVDg5uYm94/PyMjgxIkTDBo0SEzWKNSKCN7rgJOTE05OTjWmjFYqlahUKuCfkcX8O87O\nznrLKtcVfe2D9Ptt2rTB0tKSlJQUcnNzOXr0KHv37qVRo0asWrVK64mmDAwMMDExYdCgQTXal9XX\nIQj6Zmtry0svvURBQQG7d+/mypUruLq6EhMTw9GjR8nLy6OqqoqxY8fy7rvvan1+Ssd66dKldO7c\nmYMHDzJhwgTc3d3Jzc1l3759dOzYUavX7OXl5SQlJREZGcmmTZtQqVQcOnSIGzdu4ODggJ2dHY6O\njrRp00bjB4UzZ87Qvn172rRpw/Hjx8nOziYgIAB4GKwAWvUWLykpYdCgQfJbibt37zJkyBC6devW\nYB42fx/UNWrUCH9/f/z9/enbt6/8e8nJyTg5Oel8mKV075GCZUNDQ9asWUOjRo344IMPavXZ6LoY\n9uDBg1y9ehV42PnKx8cHExMTrl69SkREBHl5eZSVlWFnZyd3XnpU0voTExMxMDAgIiKCVq1a0bFj\nR/r168eMGTNo1aoVpaWlbN++nQMHDrBt2zatWmj+fn/VarXcQvLo0aOsW7eOfv36ieBdqBURvD8m\nCoWiQbQ1qyv6zirXBX3vQ5cuXeThDRUVFWRlZcnTbGsbuEs38GvXrvHRRx8RERHB7NmzgYezEKan\np+sk69uQmJmZycWqR44cISgoiPnz52NsbCwPJ8rNzZWLeLUJ3qW/jYuLo6ioiKeffhpbW1uOHz/O\nxIkTeeqpp9i7d6/W42NNTU1ZsmQJAFFRUcyaNYsZM2ZQVlZGYmIiWVlZREdHk52dXevPW7qemZmZ\nkZSUxBtvvMGXX34pt9jMycmRu/LU9tonnZ9xcXF8+umnxMbGypNjWVhYEBAQwN27d5k1a1atlvu4\n/FVQV33+gIKCAsaPH8+KFSt0PiNz9YdxaTuuX7/O4MGDa/1QpatiWOln0pu/5ORkrl69yo0bN0hK\nSiInJ4ddu3Zx4sQJnJ2dCQkJYfr06RrVECmVSmxsbLh48aL8Hff29iY8PJyysjLmzp3LwIEDef75\n59m+fTsvvPBCrdfxV6RZhgFiY2Px9/enUaNGOlu+8M8ggnfhsaqeVbawsCA1NVUvWWV9qot9UCqV\nxMfHc/bsWVJTU3FxcaFnz57yOHVtScHR9u3bMTc35+mnn5Z/dunSJbZs2YKLi4vOZkNtKKSgum/f\nvjg5Ocljwv/ss9TF24mCggKsrKxQqVQ0a9aMHTt2MHHiRJKTk+XMnLYTEUkdkX777Tf8/PzkceMS\npVJJfn4+oNkDyXPPPcebb77JDz/8gLW1NTExMZw6dQo7Ozt5SEZtlyllqX/66SdOnjzJ+PHj5XOx\nqKiI1NRUeShCQ5qoqbrfB/QJCQnk5OTovbmBNIwkNzdXq049uiqGNTY2JiAggICAAHr16iX/u1Kp\nJC4ujuvXr3P9+nVu375NWVlZrbZR6jgTHBxMREQEu3fvJjg4mE6dOpGWlkZCQoL83ZaKiDMzM2t3\nIGohOjqa8PDwBtH+WKhfRPAu1Av6zCrXFX3sgxSIHD16lMWLF6NUKgkLCyM2NpZffvmFGTNmyOvU\nRvUJmgICAmoUE4aFhfGf//xH7jhT34cv6ZK0n7o4xo+ynqCgIPl4P/XUU/j4+LB+/XqioqJqPFBp\nw8TEBLVazejRoxkwYMAffq5QKOQiXE0+527dujFhwgRWrVqFiYkJc+fOxcTEhIULF2qj92S6AAAg\nAElEQVScYZTOT1tbW8LDw3n++efl1nu/D9QbYuBenfT9io6OxtXVtUZBtL6kpKRQWVmpdStjXRfD\nVqdQKAgKCiIoKEirfv7SOT158mRycnJ44403aNSoEampqXTv3l3uElZcXExycrK8/bokbUNqaipj\nxoz5Rw5LFLQjgnfhsZMyKufOndNLVrku6GsfpIzjjh078PPzY9GiRVhbW5Obm8vChQtZuXIlQUFB\nWrcqlG4ePXr0YOPGjYwcOVJ+VZ+RkUFeXp485OGfErjXNaVSiaWlJfPmzWPhwoV88cUX8uc/bNgw\nBg8eDOgmwy99hqWlpZw9exYjIyN5iJcmpKxqVlYWBgYGzJw5k969e3P58mVUKhUhISFaDf2QttfV\n1ZVLly5x4MABRo4cCTwcAy/NSPskDT/Qdhba2oiJicHa2lonDwq6LIbVpYMHD9K7d2956Jmvry9r\n167lwoULJCUl4eLiQtOmTeVraUlJCQYGBrRs2VIv25OVlUVRUZHOZ7AW/hlE8C48NnWVVdYnfe+D\nlEU0MDDA3t4eBwcHzMzMsLS0ZPbs2UyePJn09HScnZ11khGfNGkSkZGRPPfccwwfPhw3Nze2bdtG\nx44d630bvoYoNTUVa2trrKys5M/aw8ODNWvWkJyczLVr16isrKRnz55yMaauHp5WrFjB1q1bsbe3\np1GjRjRu3JjnnnuuVg+c0jknPVCsX78egDfeeEMe+qCrNzVqtZrVq1fj7e3N8uXLWbRoEaampnKf\n9Hbt2vHKK688MX2zY2Ji9D6konqb2yZNmuikc5Iui2F1JScnh1WrVhESEoKTkxPLli3D2dmZFi1a\nEBgYSLt27f5wjnp4ePDOO+8QGhqq8Xr/1xCuO3fuYG5urtM5IoR/DhG8C49NXWWV9Unf+yDdUAYO\nHMgHH3zA8ePHGTBgAGq1mtOnT2NgYCBnbrQNkNRqNSYmJqxatYqtW7dy4sQJrl+/TnBwMG+++aZW\nyxb+KC8vTx4K4+zsLA+ZCQ0NJSQkBC8vL/lth65lZmaydu1aRo4cSZ8+fSgqKuLXX3/lhRdeYOPG\njbRv3/6RliPN/KtQKAgODuby5csEBwfL3wtdDrGSWu7279+fqVOncu/ePYqLi+XhaWVlZU9E4F59\nSMXYsWN1NqRCpVKhUqnkh63qM47GxMQQEBCgk3lHdFkMqyv29vZs3rwZW1tbcnJyKC4u5siRIxw6\ndAhzc3P5Abpjx47yG67GjRvTuXNnrdb7Z4G7dMxv3bqFi4sL1tbWWq1D+GcSwbvw2FTPKku9j/WZ\nVdaHutqHf/3rX9y+fZvXXnuNZcuWYW1tTU5ODs8991yt+xD/FQMDA0pLSzE3N2fMmDF06dKFiooK\nAgMD6+Wxb+js7Ow4dOgQv/32GzExMdy6dYudO3eyYsUKKioqsLW1pWnTpoSEhNCjRw+5K4Y2qrfK\ns7CwYPjw4fJQhh49epCZmcmWLVto3779I5+vn376KRcuXJC/C0VFRSxatAg/Pz/c3d1xcnIiKChI\n68DQzs6OMWPGcPHiRSwsLHB1ddVqefXJ71tHSkMqvL29dbYOQ0PDPzwISP9969YtunbtqvN6AV0V\nw2pLoVDI10knJyfee+89srKyuHHjBnFxceTm5lJQUEBFRQWAVu1xpb9dt24drVq1ok2bNn/6PYqK\nisLHx0fMti5oRATvwmNTl1llfdHnPkg3gZycHAwMDHj99dcZPnw4Z86c4f79+zRt2pQ+ffpovQ9S\nkBYfH8/27dvx8PBg3Lhx+Pj4sHbtWjIyMv5xbSLriru7O+7u7vTq1YuysjJKSkq4f/8+ycnJxMTE\nEB0dza+//opCoaBVq1Za99yXzkF7e3ssLS3ZunUrCxYsAB7WNkgBJCD3ov47a9euJSkpiVu3bvHh\nhx/i6+tLXFwcv/zyC3l5eahUKpo3b86uXbs02mZp6MHu3bvZt28fKSkpvPTSS8ycORNPT08sLS0x\nMTHByMio3l4n/orU7/73nWZu375N48aN5ZmatVFZWcmBAwfYvXs3tra2hISE4O/vj6WlpXz8mjZt\nSosWLbRe15/RVTGstqTvTkJCAtevX8fDw0POsgPk5+fL57um37HS0lL57c/69et59dVXCQ8Pr7EN\narUahUKBt7c33t7eotOMoBERvAuPXV1klfVNH/sg3UC+//57SkpKePXVV/H19a1RVKiLNxLSMt5/\n/33KysrYtm0brVu3JiQkhNOnT3Pjxg3atm2LhYWFVusR/jczMzOMjY2xs7PDz8+Pbt26oVKpuH//\nfo2JcLSlVCoJCgpi2rRpfPbZZ6Snp9OuXTsuXrxIYmKiPETqUc8rY2NjuaVeVVUV7733nty2sbS0\nlOTkZLKzswHNzldp3/38/IiIiMDPz4/ExESmTJmCkZGRPIZZX8GnLkkBZHp6OmfOnCE9PR1bW1vs\n7e0xNTXF3NyciIgIOXjXZgy6tK7Lly+zePFi2rdvj0qlYu/evdy7d48HDx7QoUMHNm7cyPz582t0\nmNIlXRbD6sJbb71FYWEhLVq0wNPTU56nQdsJvioqKli7di13797F1taW0tJSkpKSiImJwcXFBRsb\nmxrfXzEUUdCGCN6Fx6Kussr6pM99uHfvHjk5OXh6evLzzz/j6+tLWVnZHzpP6CLTKBWWXbt2jUWL\nFhEZGcm1a9cICQlh4MCBrFmzpkZGVtCt6kWDP/30E23atKFHjx6Ul5fz8ccfM2LECJ126VAoFJSX\nlzN8+HA8PDzkmSStrKz48MMP5fHujzqEQjoHAwMD+fzzz+XAHcDc3JymTZvStGlTrR80w8PDa2Qx\nS0pKuHTpEmlpafJEPfV1eJ1E+h4tW7aMM2fO4OrqKh9nY2NjDA0NMTIyYvr06QwfPlyr8dDSccjK\nysLa2prp06fTokULcnJyUCgUmJqaytujjyEt+iiG1YYUOGdkZDB16lTCwsJ02oa4sLCQu3fvkpyc\nTGRkJAqFgp9//plLly5hYGCAqakpTk5OdO/enWeeeabBzkcg1A8ieBcei7rKKuuTPvfhxRdf5Nat\nWzg6Osqvc7/55hscHR2xtLTEzs4Ob29vnRXzpqenY2pqipGREf379+fDDz9k7NixFBYWUlhY+Nhv\nvE8y6fxYtGgR+fn5bN++nSNHjmBnZ8eFCxcwNTUlICBAZzd6lUrF+PHjiYiI4JVXXiEiIkIny3V1\ndcXV1ZWSkhIKCwuxsbHB1NRUfsjV9Xe5UaNGf+iMU5+vF/B/14zU1FRGjBjBG2+8QUFBASkpKdy7\ndw+1Wi13N9FVYNmhQwe2bNnC4cOHadGihZxplujiOltXxbDaqqioYODAgaSlpcn93CXaHgd7e3sW\nLlwIwMqVK/n+++8ZN24cSqWSvLw88vPzycnJkd9C1fdzVajfRPAu1Dkpq+zl5aX3rLK+6Hsf1qxZ\nw507dzh37hzr16+nsLCQXbt2yR1hzM3NCQsL4/3339fJUAorKyvatm3Lvn37eO655/Dx8eHatWuc\nOHFCHo4gMkX6k5mZSUxMDJ988gn79u3jwoUL9O/fnz59+vDzzz/z+uuv62xdSqVSfqPyyy+/8NJL\nL9GzZ0+tP9vbt2+zdu1a0tPTcXBwIDAwkHHjxjWYSdbqgnQ9GDNmDOvWrZMnmwoJCdHbOr/77juy\nsrLYtm0bKpWKAQMG4OHhga2t7R/G2mvqcRTD1oYUmGdlZRETE8OFCxcIDAykZcuWuLi4YGFhoZPj\nINUwmJiYMGjQIMaPHy//rKKigvv372s9rl4QQATvwmPw4osvEh0djaOjo3wx++abb3BycsLCwgJ7\ne3u8vLzqdYtIfe+DtbU14eHh2NrasnnzZrZu3YqdnR3Z2dmkpKQQGxtLWVkZhoaGWmeM1Go11tbW\nzJ49mzlz5vD8889jYWHBqVOn8Pb25uWXXwbq98NUQyV9dikpKSgUCqysrOjevTv79++nf//+lJSU\n6KQDRnXGxsZy5n3t2rWsXr2a3NxchgwZotUkR3PnzqW0tJSuXbtSUlLCwYMH+f7779m8ebNOu6Y0\nVNJnnZOTw7Vr10hOTmbixIksWLBAqwms/or0fXV2dqZLly7cuXOH/fv3c+XKFdzc3LCzs2Pu3Lla\ndTt53MWwj0o6Funp6QB4eXmxZcsWjh49ikqlwtbWlqFDh2r9FkoKzAcPHvyH75KJiUm9vqcJDYuB\nWgxmFepYQUEBsbGxnD9/nnXr1uHq6kpFRYXessr6UFf7EB0dTVRUFGPGjNHh1v+RtO0qlYozZ85w\n+fJlKisr6devX41xxoJ+ZGdnM2vWLFq0aEGzZs04deoU06ZNY8GCBfj6+rJkyRI5q6dLSqWS9957\nj507d9K9e3fefvttjbqCpKam0rdvX1auXCl3JlIqlYwYMYLmzZuzaNEinW53QxYTE8PixYvJzc0l\nNTUVIyMj/P398fb25l//+pdeJqYrLS2lrKyMxMREIiMjSUxMxN3dnVmzZmm0POlB8vz588yaNYv2\n7dtjYGBAQkLCH4phb9++jaenZ71piZiRkcH58+eJjY1FqVSiUqm4e/cu48ePJzw8XGcPyZcuXSIr\nKwtPT0+CgoIwMzPT2bIFQWTehTpnZWUlZ5U3bdqk16yyvtTVPjRv3hwXFxfKy8trjB/WtTVr1hAf\nH09ERARDhgyhc+fO9WKM6j+Fs7Mz06dPZ+nSpZw/fx6A0aNH06xZM4YPHw5o/5pdOg8zMzO5c+cO\nv/zyCykpKRgZGREQEEBkZCTx8fF4eHjU+jwrKirC0dGRpKQk+d+USiUtWrTg6tWrgO7eHDR0TZs2\nZdOmTcDDYtIrV67w22+/cefOHTIzMwHdDlErKSkhJSVFLuydPn261st83MWwmjpy5Ajr1q1DqVTi\n7OyMo6MjY8aMwdfXV94nbc/R0tJSPvzwQ06cOIGpqSl5eXm4uLgwe/bset+EQWg4ROZdeGyio6O5\nevUqY8eOfdybojF97YMUaO3atYvjx48zd+5ceejBjh07CAsL09lNsbCwkLZt29KnTx8CAwPlbFx9\nfXB6kiUkJHD48GFiY2NxdHRk4MCBWk3P/meGDx/O7du3CQ8Px8/PD0dHR1q1akW7du3k39Hks1+x\nYgVbt25l6tSpdOrUidu3b/PFF1/IGX19vDloiEpLS7l16xb+/v7Y2NigVCq5ePEi7du31+lsqoaG\nhkRGRrJs2TJiYmLw8vLCzMyMVq1a8fzzz2vVulE6P6Q3Rm3btv3Tuoz6dA2pqKiga9euNG/enP79\n+1NUVMTZs2c5e/Ys27Zt0/p7Jh3zc+fO8fzzzzN16lT69u1LVVUVe/bs4aeffmLFihW0bNlSR3sk\n/JOJK6nw2NRVVlmf9LUP0g1v5cqV9OrVq0b7vRMnTpCQkMCcOXN0Mh18fn4+7dq1Y9q0aYSGhsrD\nZxraZ9FQqdVqPvroI7Kzsxk2bBgvvPACZWVlGBsb66XIb82aNZiYmFBVVfWXcxA8asAlnSd79uzB\n3t6eMWPG8Ouvv7J582YyMzMZMWIEU6dOBR699eSTbt26dezevZsOHTrwwQcfYGBgwOeff87kyZPp\n27evTtYhfS6rVq2iqqqKr776Cmtra+Li4li+fDklJSW89957Wk8QVBfFsNqSHiASEhIoKytj5syZ\ntGnTBoCJEycyadIk1q5dy1dffaWT9SUkJODs7Mzo0aNxdHQEHnaiiYqK4qeffqJly5bi+ipoTZw9\nQp2TXvbs2rWLd999V35VbGhoyM6dO7l9+/bj3LxHUhf7ILUVa9u2rRykK5VKwsLCOH78uNaBu7QP\n0hj9b775BngYuCkUinpx432SScc/Li6Ob7/9lsLCQs6ePQs8nLBJX8GuNLuqFLirVCr5Z3l5eRw+\nfJjy8vJHWpYUgMTFxbFixQoSExMZPHgwH374Ib/++ivvvPOOXKQnzqeHXaq+/fZb+vTpw7lz58jN\nzUWtVmNra8uPP/6os/VI505OTg4dO3aka9eutGzZkuHDh/Pmm29y7NgxUlNTNV7+74thAwIC2L9/\nP4sWLWLBggUsXLiQ0tJSneyLtqoPh3FycuLYsWPyz4qKinBycuLu3bvAw+urpqTvQmhoKOXl5WzY\nsIGioiLg4dvNiooKuYhVDHgQtCUy70Kd+19Z5V9//ZX4+HidZZX1pS72wcjIiPDwcLmY0MjICLVa\nTX5+vrx+bTI4UkYqMjKSpKQkkpOTAWjdujV2dna4ubkREBCgVQcS4e/l5eURHh7OF198Ic9iK93c\n6yLgrV6XcfLkSTZs2EDHjh1rVfPw73//m7CwMDZu3MiBAweYOXMmDg4OItv+/0nf05iYGBQKBU8/\n/TQWFhbs37+fGTNm4Ovry+nTpwHdDDWR+qx37tyZH3/8kXHjxskPUVVVVZSUlOik88mzzz7Lv/71\nrz8Uw9rZ2dWbAlV4eEwDAwMZM2YMq1atIj8/n27duhEVFcXZs2eZNGmSztYVFhbG5MmT2bVrF7m5\nufj7+7Nv3z4UCgW9evUCxIOsoD0RvAuPRXZ2NtnZ2bRr1+4PWeVdu3bxxhtvPOYt/Hv63gc7Ozum\nTJnCW2+9xaxZs5gwYQLnz5/nwIEDPPvss4B2GRwp6Le0tKRfv35kZmaSmZnJnj17UKlUWFhYMH/+\nfPz9/bXaD+HPSTfwoKAgLC0tWbt2La+88spjfaUeFRWFiYlJrR86TU1N6du3LyEhIaxevZpp06Yx\nZcoUXnzxRRGoUDP7a2pqSm5uLjY2Nly8eBGA+Ph4OQGgVCq1qg2oPinWpEmTuHjxIkOHDqVTp040\nbtyYY8eO0adPHxo3bqz1g4I+imH1QdrH0aNHY21tzZ49e1i8eDFqtZoZM2YwbNgwQPNi1d8fx7Fj\nx2JlZcXBgwc5cOAArVu3ZtKkSfj5+Wm1HkGQiOBdeCyMjY0JDw9nx44ddOvWTedZ5bpQF/vQpUsX\nli9fzpdffsmsWbNwd3fnpZdeYtCgQYDmN4Fr167JvZe7dOkit6dTKpWkpaWRlJREWloaLi4uGm+7\n8L9JHUWkyZJ++eUX+ZyytbXFxcUFGxubOt2mmJgYgoODNRoLnZqayp07d/Dz88PJyYkVK1aQlpbG\nRx99VK8KFx8Had9btGjBU089xTfffENQUBC2trbMmzePhIQEXnjhhRq/q6nq1wQnJyfWrVvHnj17\nOHfuHImJiQwZMoTnn39e43XpuxhWn0xMTBg8eDD9+vWjrKzsD9+v2h6P5ORkFixYgJ+fH82bNycw\nMBAXFxfs7OwYOnQoQ4cOBer/vUxoeES3GeGxOXnyJG+99RYhISFyVnnv3r08++yzzJw5s0HM6KmP\nfZACnf3793Pq1CmaNWtG06ZNKS0t5c6dO1RWVjJx4kR5iEVtpaWlMXr0aLZt24aNjQ1bt24lKCiI\n5s2bywVWQt25e/cucXFxXLlyhePHj3Pr1i2MjIxo0qQJGzdurNOJXSIiInjppZceqXuSFJB89913\nfPXVVygUCiwsLDA2NsbLy4tevXrRunVrjVpPPomk73VeXh4fffQRR48epbS0FCMjI1566SVGjx6N\nlZWVRg860vFdunQpPj4+jBw5koKCAoyNjeXhK7p6gJK6Bk2ePJn8/Hxmz55doxi2d+/eOimGbQjS\n0tL46quvuHPnDikpKRQXF9OoUSPc3NwICgqidevWtG7dmqZNmz7uTRWeMCJ4Fx6rc+fO8eWXX3L7\n9m3c3d2ZMGECgwYNkvsEN4RsnT72QaVS0a1bN+zt7cnLy+PevXs4OTlRXFxMq1at+PjjjzUK3svK\nyigvL6e8vBwnJyeys7N55ZVXSE1NxdjYGHt7e5ycnHBzc6Nr16507Nix1usQtFdSUkJOTg6enp51\nFvTeu3ePTp068c0339C+fftH/rsTJ06QkpKCq6srrq6uBAcH63ErG7Yff/yRAQMGAA/fvMTHx2Ns\nbIyPj49Olv+f//wHf39/unbtyurVq4mMjMTb25ugoCCaNGmCjY0Njo6OOmkT+cwzz9C9e3deffVV\n+Wd79uxh6dKlbN26FV9fX13sUoNRVlZGWloacXFxJCcnExMTQ3R0NOnp6VRVVfHmm28yceLEBnNf\nE+o3MWxGqFN/llX+97//LWeVs7OzqaysxNTUtN5e4PS5D9XbmuXn57Nq1SpCQkKAhy3I3nrrLTp3\n7qxx1v3s2bMcPXoUT09PAgICcHNzY968edy9e5eUlBRSU1PlTLCXlxcdO3YUWdPHoFGjRnJf/7oi\nBZK1nWG1a9euNf67LottG5J79+6xbt06Hjx4wOjRo1EoFAQGBrJ3714OHjyo8Wyn1Y0fP16uV2jS\npAmJiYncunWL8+fPY2RkROPGjfH09GTevHlYWVlptI66KoZtCKrnPs3MzPD396eiooJ79+7Rtm1b\nBg4cSKNGjbh79y6BgYHy34jvhqAtEbwLdcrAwACVSsXy5cuxt7fn4sWL3L17t0ZWub6ri30oLi7G\nysqKyMhIOXh3c3PDz8+PCxcuMHbsWI2CaqVSSV5eHtevX6eiogIXFxd8fX3x8vLCx8eH0NBQSktL\nKS8vp3nz5oAornoSqdXqGv8zMjIiOjoaJycnrcfZi8Dkj9RqNXZ2drRt25a1a9fSqVMnkpOTWbJk\nCbm5uXLBpLYPylLgrlKp6NevH08//TT5+fkkJyeTkJBAcnIyarVa48C9LothGwJp/6QgfunSpfz4\n44+4urpSVlZGaWkp3bp1Y86cOZiZmQHieirohgjehTrzv7LK8fHxvP3221plleuCvvdBuhkEBwcT\nEhLC3r176datG97e3nJGPCAgANDsRt+7d2969+5NSUkJ2dnZLF26lO3bt2Nra0thYSHw8CEhNDRU\nDt6Fhu/3gdSfTaBz48YNufBQ0C3pWL/44ovcvHmTAQMG0LhxY9q3b89HH30kDzXSNrCTxqNHR0ez\nd+9e5s6di42NDTY2NnKBujb0XQzbUBkYGFBeXi7PMNy7d28Abt68yeLFi3FxcWHixIn/qGMi6JcI\n3oU6V1RUhKWlZY2ssru7u9ZZ5bqk730wMjJi2rRpzJ8/nxkzZuDp6cm1a9dwdnZm8ODBgGY3epVK\nhYGBAY0aNcLHx4eMjAyGDRvG4sWLUalUpKSkMHbsWLKzs7G0tNRo24X6R3rgvHXrFsXFxZSVlaFW\nq7GwsMDDw4MOHTqgUqlo3759vS8Sbyh27NjB/fv38fb2xs3NDWtra5o0aUL//v25cuUK8+fPl8e/\n64qUAT527BgnT55k+vTpODk5abXM/1UMK7WznTx58j8+MM3IyMDe3p6wsDC5QLVp06bcuXOHn376\niUmTJtX7+5rQcIjgXagz0sU9JCREzip3794dLy8v7t27p3VWuS7U5T60adOGDRs2cOzYMRITE2nd\nujVdunSRbwyaLFuakAcgNjaW+Ph43nvvPflnXl5e9OvXj6SkJDE50xNEpVIxbdo0srOzsbGxwcnJ\nCRMTEwoLC6mqqmLXrl0sX76csrKyx72pT4zo6GhOnTpFQUEBKpUKS0tLnJ2d5VqGO3fukJ+fr/Uw\nJek6s2DBAo4fP05AQAAZGRmYmZlx4cIFvL29MTExoXHjxtjZ2dX6ey1dZxwcHOSx7Fu3btVLMWxD\nJB1/lUqFs7Mze/bsITQ0FGNjY8rLyykoKJCHM9XHe5rQMIngXahzRkZGTJ8+nfnz5/P888/rLKtc\nl+pqH5ydnR+pbZ8mKioqcHV1JTo6mjZt2gAPu5xUVVVx//59gAbRrlP4e8nJydy/f59ly5bRr18/\nUlJSKCgooKqqCnt7e3mYV30estbQSA/FAElJSdy8eZPIyEiio6NxdHTk66+/ZuvWrfLEVpq2VpSu\nMxMnTsTDw4P4+HgiIyMBmDt3LkZGRjg6OuLs7ExwcDAvvvgidnZ2tV5PXRTDNmQHDx7k6tWrwMMh\nlD4+PpiYmHD16lUiIiLIy8ujrKwMOzs7MTRN0JpoFSk8NtnZ2XJW2cHBQc4q1/fAvbqGvA9KpZKl\nS5cSGRnJG2+8QWhoKJs3b2bTpk1MmDCBadOmieD9CZGdnc3rr79OSEgIc+fOfdyb849QVVWFoaHh\nX14LUlJSuHbtGiUlJYwaNUqn6w4JCeGLL74gIiKiRtvChIQEPv30U62y/SqVCrVajUKh+NNi2Dlz\n5uhwTxqOyspKkpKSSE5O5urVq9y4cYOkpCRycnKA/3tzERISwvTp03F3d3/MWyw0ZCJ4F4R/sIyM\nDD7++GOOHj1KZWUlFhYWTJ48mXHjxmk8YYxQf0gPX1FRUXz00UckJyczePBgue7BxcWFwMBAgoOD\nxUOant29e5erV69ibm5O06ZNcXBw0Mt68vLyeP/993n33Xd1OumaVAx78+ZNuRjW1NRUZ8t/UimV\nSuLi4rh+/TrXr1/nzp07LF68GD8/v8e9aUIDJoJ3QRC4f/8+eXl5cp/vhvDmQPh7UvA+fvx4EhIS\naNu2LSqVCpVKRXFxMRkZGeTk5LB8+XJ69eolHtZ0TDr+J06cYP369aSnp1NcXIxSqWTAgAHMmTMH\nW1tbva67eu2NNnU4lZWVGBsb8/nnn/Pjjz+yefNmrYthBUHQjBjzLggCtra2egsihMdHyqb369eP\nn376iYULF2JiYiJPJAZgamoqB2EicNePr7/+GqVSyauvvoqfnx+pqaksWbIEExMTnWWwpcA8NjaW\ngwcP0q5dOzp27Cj/GyBPFFTbZeqrGFYQBM2I4F0QBOEJJo29vnHjBl988QXvvPMOnp6ej3uz/hGk\nh6fs7GyeffZZnn76aeBhC8GMjAw2bNjA1KlTcXFx0Xpd0kv09evXk5SURL9+/eSfHT16VK57qE1R\ncl0VwwqCUDsieBcEQXiCZWZm8t133+Hh4cHmzZs5fvw44eHhBAYG0rJlS8LDwx/3Jj7Rqqqq6Nmz\nJ9u3b6dbt274+PigUCho1KgRDx48kNsvaksKtM+ePcvYsWMJCgqSf+bm5sbu3eCgragAAA10SURB\nVLvJycnRqKOQp6cnkydPBuCHH374y2JYMdxOEOqGCN4FQRCeYE2aNGHFihXExsaiVCpJSEjg2rVr\nHDhwgMLCQsLDw+vtvApPAiMjI8aMGUNMTAwLFy4kIiKCBw8esG/fPp555hkMDAx0UmtgYGCAUqkk\nNDSUyMhIpk2bJn+mlpaW5OTkaD1GPS8vjx49ehAWFkbjxo1p3rw5zZs3Z+jQoVotVxCE2hEFq4Ig\nCE8gqWDx+PHjlJeX07JlS1xdXQHkglVTU1O5d7egX2lpaWzevJmzZ89iZmbGgAEDGDZsGJaWljot\nFD5//jyzZs2iY8eOzJkzh+LiYhYvXoyxsTHffvutTtal62JYQRBqRwTvgiAIT7DPPvuMTZs2oVar\nsbCwwM3NjebNmxMQEMDAgQOxtLR83Jv4xLt//z6pqanY2Njg5uaGkZGRXoPdS5cu8e6775KUlIS1\ntTW+vr68/vrrtGrVSqPg/a+KYQGNi2EFQdCcCN4FQRCeYGVlZSQkJJCSkkJaWhoZGRkcPXoUtVrN\n7t27Rbs/PZGC5F27dskPT2q1GlNTU0aOHMmIESN0vs6cnBwqKytxd3dHpVIRGxtLTk4OzZo1w9HR\nUeOsu5Rpf/3110lKSuKDDz6gWbNmAKxcuVKjYlhBEDQnxrwLgiA8wczMzOSxyQAPHjygcePGJCYm\nisBdj6Qgefny5XTq1IlevXoBcP36dd5//33MzMwYOHCgTtYlZca/++47rl27hq+vL4GBgfj4+ODt\n7U1VVZXcp10T+iyGFQSh9kTwLgiC8ISRMqy5ubncuXMHX19f7OzsMDExwdraGnNzcxITEwExVlmf\nMjMzUavVDBkyRB5m0q9fPwoLC9m5c6fOgnfp8/P29iYxMZFTp06xe/du1Go1tra2BAcHs3DhQqyt\nrTVafl0UwwqC8OhE8C4IgvCEkYL3a9eusX79ejkDa2FhQXZ2Nvv376d169aACN71ofrwlFatWnH4\n8GE6duyISqWirKwMc3Nz7t+/r/P1Dho0iEGDBgEPZ0SNjY3l008/JSMjQ+PAXaJQKHjuueeYNWsW\nr776qlwMu2HDBlq3bo2FhYWYoVcQ6ogI3gVBEJ4wUjAeGhpKu3btOHv2LFFRUdja2mJpacmwYcPo\n379/jd8VdEelUqFQKNi/fz+//vorhoaGFBYWEhAQgJmZGZcvX6Zly5bAw5oEMzMznW+DsbExwcHB\nhIeHc+3aNQCtg+uIiAi+/vpr3n33Xfr16ycXw7788su62mxBEB6BCN4FQRCeMFKQdv78eXJzc/Hz\n80OhUFBWVkZ+fj4lJSXy5EAieNcttVqNQqEgOzubzp074+bmxp07d4iPj+fQoUOkp6dTUlJCbGws\nCQkJNGnShLCwMAYMGKBRdlwqJj127BgnT56kd+/ehIaGYmNjQ1FREZcvX5ZnX1UqlRgZaXbbl4ph\n27Zty48//qizYlhBEGpPBO+CIAhPGAMDA1QqFfPmzaNDhw74+PiQn5+PSqXC0tKSrKwsEWjp2fjx\n40lJSeHgwYM888wzJCUlcf/+fRwcHCgqKuLmzZvcvHmT2NhYjh8/TkBAgEaz3SoUCuBhYH758mUO\nHz6MUqnE0NCQyspKbG1tmTNnDoBGn7m+i2EFQag90SpSEAThCZSbm8uUKVMYO3Yso0aNAqCwsJDC\nwkLMzMyws7N7zFv45KqoqGDatGl07dqV8ePHc+bMGd5//31ycnKwtbXlv//9L35+flqt48iRI9jY\n2BAUFFQjY5+QkEB6ejp5eXkUFxfj5eVFmzZttB6as2/fPn755Rd+++03cnNzdVYMKwhC7YngXRAE\n4QlUXl7O559/zqlTp1i7di2urq4i215HysvL+eyzzzA1NeWFF16gd+/e2Nra8s477/Dll1/SpEkT\nlixZIg81qe2Qk6qqKp599lliYmIAcHd3Jzw8nC5duhAQEICHh4deZ86tXgz74MEDdu7cqbd1CYLw\nR2LYjCAIwhNEGgN96NAhfv75Z1JSUpg4cSJz5syRu4I0atRIBPJ6Ik3EZGVlxdGjR7GysiI3N5fX\nX3+ddu3a4eLiQlpaGvB/Y9Br+1kYGRmxc+dO0tLSSE5O5sqVK+zYsYNdu3bh4OCAQqGQZ9Nt1aoV\nM2fO1Ok+6qMYVhCERyeCd0EQhCeINAY6MDCQoUOHkpyczIULF5gzZw6NGzfG3t6eZcuWyd1OBN2S\nAthOnTrxww8/sHz5crp160b37t1JTU0lKSlJJ8derVbj5uaGh4cHCoWCw4cP06FDBwYOHEhOTg7H\njx/n2LFj+Pv7A5q1BK2rYlhBEGpHfNMEQRCeQNVnVYWH3UJiYmJIT0/Hw8MDENlSfQoLC2PNmjVE\nR0fTtGlTLCwsWLVqFffv36dnz56Adp1+pImTDA0NOX78OCYmJrz22ms4OjoC4OXlRVZWFiEhIfLv\n15a+i2EFQdCMCN4FQRD+AZycnP4wC6YIuPTL29sbb29v+b+Dg4Pp3Lkzbdu2BbRv0yn9fXFxMebm\n5piamso/c3R05MGDB/JkUFLv+Ufx+2LYvn370rdv378shgUeedmCIGhPBO+CIAiCUAeefvppnS5P\nCt6HDBnCyy+/zOHDh+nbty9WVlYcOnSIgoICWrRoUeN3/05VVRVr1679y2LY9u3b67UYVhCEvye6\nzQiCIAhCA6ZUKlmxYgUHDhzAy8uLvLw8oqOjee2115g4caJGY9F/Xwybk5NTJ8WwgiD8PZF5FwRB\nEIQGTKFQMHv2bDp37sz58+dRq9W89tprREREaDQ0py6KYQVB0JwI3gVBEAShASsvL+e3337DysqK\nyZMnaz0hU10UwwqCoDkRvAuCIAhCAyNluyMjI9mwYQOJiYlUVVVhYmLCsGHDGD9+PMbGxhovX1/F\nsIIgaE+85xIEQRCEBkYqV/viiy9ITU1l5MiRzJs3j6FDh7J69WrWrFmDUqnUePnVi2GTk5M5fPgw\nBQUFABoXwwqCoBsi8y4IgiAIDYyU6U5MTGTKlClMmjRJ/llpaSn79+9n1KhR8lAXTbVq1YoRI0aw\ndu1aDh8+XKMYtlmzZoAYNiMIdU0E74IgCILQAFVUVNC+fXv27dtHv379cHV1Ra1W4+7uTmZmJg4O\nDlqvQ9fFsIIgaE+0ihQEQRCEBur69evMmzcPT09PevfuzYMHD9i4cSMtW7bkyy+/1LoTjFQMa2Fh\ngYeHh9bFsIIgaE8E74IgCILQgMXGxvLFF18QGRmJsbExgwcPZuLEiTg4OKBWq2s9rEXfxbCCIGhH\nDJsRBEEQhAZECq4vX77MmTNnaN68OStXrpR/XllZibGxsUaBO9Qshs3Pz2fkyJF4eXmRmJjI6tWr\nKSkp4YUXXhAdZgThMRHBuyAIgiA0QEuWLKGyspLMzExCQkJwcXEBkLPimhaS1lUxrCAImhHVJoIg\nCILQgEhj2B88eMCoUaOYOXOmzgPp6sWwmZmZADovhhUEQTOK999///3HvRGCIAiCIDy6qqoqKisr\nuXXrFsOHD69RlKpSqbRu36hQKHB1deXIkSNERUVRUVHBhQsX+Prrr4mIiGDAgAE6WY8gCLUnClYF\nQRAEoYGQxrHHxMTw5ptvEhMTw8svv8xTTz2Fp6cnNjY2Ol2frothBUHQngjeBUEQBKGBuXHjBjt2\n7CA3N5eCggIMDAwoKirCzMyMSZMm0bdvX42W+2fFsL169ZJ/rm0xrCAI2hMFq4IgCILQwISGhnL/\n/n1OnDiBpaUl9vb2WFtbU1hYKBeuatPjXV/FsIIgaE8E74IgCILQQEgZ72XLlnH48GHc3d2prKwk\nJiaGjh07MnPmTCwtLQE0CtyrF8NOmjSJzp07i64yglDPiOBdEARBEBoIAwMDysvL2bJlC1OmTKF3\n794A3Lx5kw8//BBnZ2cmTpyo1TqqqqoYOXIkV69eZcyYMTV+pu2MrYIgaE8E74IgCILQgGRkZGBv\nb0+LFi1o1qwZAM2aNSMuLo5Dhw4xceJEjYJsKasfFxfHwYMHiYmJwc/Pr0YxrAjcBeHxE8G7IAiC\nIDQAUkCuUqlwdnZmz549hIaGYmxsTHl5OQUFBZiYmACaDZmRxrFXVlYSFhaGq6srp06d4vTp0zop\nhhUEQTdE8C4IgiAIDcjBgwe5evUqAPHx8fj4+GBiYsLVq1eJiIggLy+PsrIy7OzsMDMzq/Xy9V0M\nKwiCdkSrSEEQBEFoQCorK0lKSiI5OZmrV69y48YNkpKSyMnJAcDBwQFnZ2dCQkKYPn067u7uj7Tc\nvyqGLS4u/kMxrCAIj4/IvAuCIAhCA2JsbExAQAABAQE1erArlUri4uK4fv06169f5/bt25SVlT3y\ncuuiGFYQBO2J4F0QBEEQngAKhYKgoCCCgoIYMWKERsvQVzGsIAi6I759giAIgvAPp1Kp5P+XimHz\n8vIoLCzk7t27WhfDCoKgOyLzLgiCIAgCoP9iWEEQtCcKVgVBEARBAPRXDCsIgu6IzLsgCIIgCID+\nimEFQdAdkXkXBEEQBEEQhAZCVJ0IgiAIgiAIQgMhgndBEARBEARBaCBE8C4IgiAIgiAIDYQI3gVB\nEARBEAShgRDBuyAIgiAIgiA0EP8P3DAgoKF7cjkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x260411940b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_axis = missing_df['filling_factor'] \n",
    "x_label = missing_df['column_name']\n",
    "x_axis = missing_df.index\n",
    "\n",
    "fig = plt.figure(figsize=(11, 4))\n",
    "plt.xticks(rotation=80, fontsize = 14)\n",
    "plt.yticks(fontsize = 13)\n",
    "\n",
    "N_thresh = 5\n",
    "plt.axvline(x=N_thresh-0.5, linewidth=2, color = 'r')\n",
    "plt.text(N_thresh-4.8, 30, 'filling factor \\n < {}%'.format(round(y_axis[N_thresh],1)),\n",
    "         fontsize = 15, family = 'fantasy', bbox=dict(boxstyle=\"round\",\n",
    "                   ec=(1.0, 0.5, 0.5),\n",
    "                   fc=(0.8, 0.5, 0.5)))\n",
    "N_thresh = 17\n",
    "plt.axvline(x=N_thresh-0.5, linewidth=2, color = 'g')\n",
    "plt.text(N_thresh, 30, 'filling factor \\n = {}%'.format(round(y_axis[N_thresh],1)),\n",
    "         fontsize = 15, family = 'fantasy', bbox=dict(boxstyle=\"round\",\n",
    "                   ec=(1., 0.5, 0.5),\n",
    "                   fc=(0.5, 0.8, 0.5)))\n",
    "\n",
    "plt.xticks(x_axis, x_label,family='fantasy', fontsize = 14 )\n",
    "plt.ylabel('Filling factor (%)', family='fantasy', fontsize = 16)\n",
    "plt.bar(x_axis, y_axis);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "缺失值填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director_name</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4553</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     director_name actor_1_name actor_2_name actor_3_name\n",
       "4553           NaN          NaN          NaN          NaN"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filling = df_var_cleaned.copy(deep=True)\n",
    "missing_year_info = df_filling[df_filling['title_year'].isnull()][[\n",
    "            'director_name','actor_1_name', 'actor_2_name', 'actor_3_name']]\n",
    "missing_year_info[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                                  0\n",
       "genres                                                                   \n",
       "homepage                                                              NaN\n",
       "id                                                                 380097\n",
       "plot_keywords                                                            \n",
       "language                                                              NaN\n",
       "original_title                                 America Is Still the Place\n",
       "overview                1971 post civil rights San Francisco seemed li...\n",
       "popularity                                                              0\n",
       "production_companies                                                   []\n",
       "production_countries                                                   []\n",
       "release_date                                                          NaT\n",
       "gross                                                                   0\n",
       "duration                                                                0\n",
       "spoken_languages                                                       []\n",
       "status                                                           Released\n",
       "tagline                                                               NaN\n",
       "movie_title                                    America Is Still the Place\n",
       "vote_average                                                            0\n",
       "num_voted_users                                                         0\n",
       "title_year                                                            NaN\n",
       "country                                                               NaN\n",
       "director_name                                                         NaN\n",
       "actor_1_name                                                          NaN\n",
       "actor_2_name                                                          NaN\n",
       "actor_3_name                                                          NaN\n",
       "Name: 4553, dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filling.iloc[4553]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def fill_year(df):\n",
    "    col = ['director_name', 'actor_1_name', 'actor_2_name', 'actor_3_name']\n",
    "    usual_year = [0 for _ in range(4)]\n",
    "    var        = [0 for _ in range(4)]\n",
    "    #_____________________________________________________________\n",
    "    # I get the mean years of activity for the actors and director\n",
    "    for i in range(4):\n",
    "        usual_year[i] = df.groupby(col[i])['title_year'].mean()\n",
    "    #_____________________________________________\n",
    "    # I create a dictionnary collectinf this info\n",
    "    actor_year = dict()\n",
    "    for i in range(4):\n",
    "        for s in usual_year[i].index:\n",
    "            if s in actor_year.keys():\n",
    "                if pd.notnull(usual_year[i][s]) and pd.notnull(actor_year[s]):\n",
    "                    actor_year[s] = (actor_year[s] + usual_year[i][s])/2\n",
    "                elif pd.isnull(actor_year[s]):\n",
    "                    actor_year[s] = usual_year[i][s]\n",
    "            else:\n",
    "                actor_year[s] = usual_year[i][s]\n",
    "        \n",
    "    #______________________________________\n",
    "    # identification of missing title years\n",
    "    missing_year_info = df[df['title_year'].isnull()]\n",
    "    #___________________________\n",
    "    # filling of missing values\n",
    "    icount_replaced = 0\n",
    "    for index, row in missing_year_info.iterrows():\n",
    "        value = [ np.NaN for _ in range(4)]\n",
    "        icount = 0 ; sum_year = 0\n",
    "        for i in range(4):            \n",
    "            var[i] = df.loc[index][col[i]]\n",
    "            if pd.notnull(var[i]): value[i] = actor_year[var[i]]\n",
    "            if pd.notnull(value[i]): icount += 1 ; sum_year += actor_year[var[i]]\n",
    "        if icount != 0: sum_year = sum_year / icount \n",
    "\n",
    "        if int(sum_year) > 0:\n",
    "            icount_replaced += 1\n",
    "            df.set_value(index, 'title_year', int(sum_year))\n",
    "            if icount_replaced < 10: \n",
    "                print(\"{:<45} -> {:<20}\".format(df.loc[index]['movie_title'],int(sum_year)))\n",
    "    return "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fill_year(df_filling)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "用名字中的信息来填充关键词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "icount = 0\n",
    "for index, row in df_filling[df_filling['plot_keywords'].isnull()].iterrows():\n",
    "    icount += 1\n",
    "    liste_mot = row['movie_title'].strip().split()\n",
    "    new_keyword = []\n",
    "    for s in liste_mot:\n",
    "        lemma = get_synonymes(s)\n",
    "        for t in list(lemma):\n",
    "            if t in keywords: \n",
    "                new_keyword.append(t)                \n",
    "    if new_keyword and icount < 15: \n",
    "        print('{:<50} -> {:<30}'.format(row['movie_title'], str(new_keyword)))\n",
    "    if new_keyword:\n",
    "        df_filling.set_value(index, 'plot_keywords', '|'.join(new_keyword)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAFWCAYAAABKELsiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhRBCCKuosBBCCGEVFRZCCCGs+h/8g89aR7tREwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26041239080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = corrmat.nlargest(9, 'num_voted_users')['num_voted_users'].index\n",
    "cm = np.corrcoef(df_keywords_occurence[cols].dropna(how='any').values.T)\n",
    "sns.set(font_scale=1.25)\n",
    "hm = sns.heatmap(cm, cbar=True, annot=True, square=True,\n",
    "                 fmt='.2f', annot_kws={'size': 10}, \n",
    "                 yticklabels=cols.values, xticklabels=cols.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "利用回归来进行填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVgAAAFdCAYAAABGoXXzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26043a5f518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.25)\n",
    "cols = ['gross', 'num_voted_users']\n",
    "sns.pairplot(df_filling.dropna(how='any')[cols],diag_kind='kde', size = 2.5)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def variable_linreg_imputation(df, col_to_predict, ref_col):\n",
    "    regr = linear_model.LinearRegression()\n",
    "    test = df[[col_to_predict,ref_col]].dropna(how='any', axis = 0)\n",
    "    X = np.array(test[ref_col])\n",
    "    Y = np.array(test[col_to_predict])\n",
    "    X = X.reshape(len(X),1)\n",
    "    Y = Y.reshape(len(Y),1)\n",
    "    regr.fit(X, Y)\n",
    "    \n",
    "    test = df[df[col_to_predict].isnull() & df[ref_col].notnull()]\n",
    "    for index, row in test.iterrows():\n",
    "        value = float(regr.predict(row[ref_col]))\n",
    "        df.set_value(index, col_to_predict, value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "variable_linreg_imputation(df_filling, 'gross', 'num_voted_users')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column_name</th>\n",
       "      <th>missing_count</th>\n",
       "      <th>filling_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>homepage</td>\n",
       "      <td>3091</td>\n",
       "      <td>35.644389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tagline</td>\n",
       "      <td>844</td>\n",
       "      <td>82.427649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>country</td>\n",
       "      <td>174</td>\n",
       "      <td>96.377264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>actor_3_name</td>\n",
       "      <td>93</td>\n",
       "      <td>98.063710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>language</td>\n",
       "      <td>86</td>\n",
       "      <td>98.209452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>actor_2_name</td>\n",
       "      <td>63</td>\n",
       "      <td>98.688320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>actor_1_name</td>\n",
       "      <td>53</td>\n",
       "      <td>98.896523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>director_name</td>\n",
       "      <td>30</td>\n",
       "      <td>99.375390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>overview</td>\n",
       "      <td>3</td>\n",
       "      <td>99.937539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>duration</td>\n",
       "      <td>2</td>\n",
       "      <td>99.958359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>title_year</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>release_date</td>\n",
       "      <td>1</td>\n",
       "      <td>99.979180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>num_voted_users</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>vote_average</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>movie_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>budget</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>spoken_languages</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>production_countries</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>production_companies</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>popularity</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>original_title</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>plot_keywords</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>id</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>genres</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>status</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>gross</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             column_name  missing_count  filling_factor\n",
       "0               homepage           3091       35.644389\n",
       "1                tagline            844       82.427649\n",
       "2                country            174       96.377264\n",
       "3           actor_3_name             93       98.063710\n",
       "4               language             86       98.209452\n",
       "5           actor_2_name             63       98.688320\n",
       "6           actor_1_name             53       98.896523\n",
       "7          director_name             30       99.375390\n",
       "8               overview              3       99.937539\n",
       "9               duration              2       99.958359\n",
       "10            title_year              1       99.979180\n",
       "11          release_date              1       99.979180\n",
       "12       num_voted_users              0      100.000000\n",
       "13          vote_average              0      100.000000\n",
       "14           movie_title              0      100.000000\n",
       "15                budget              0      100.000000\n",
       "16      spoken_languages              0      100.000000\n",
       "17  production_countries              0      100.000000\n",
       "18  production_companies              0      100.000000\n",
       "19            popularity              0      100.000000\n",
       "20        original_title              0      100.000000\n",
       "21         plot_keywords              0      100.000000\n",
       "22                    id              0      100.000000\n",
       "23                genres              0      100.000000\n",
       "24                status              0      100.000000\n",
       "25                 gross              0      100.000000"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df_filling.copy(deep = True)\n",
    "missing_df = df.isnull().sum(axis=0).reset_index()\n",
    "missing_df.columns = ['column_name', 'missing_count']\n",
    "missing_df['filling_factor'] = (df.shape[0] \n",
    "                                - missing_df['missing_count']) / df.shape[0] * 100\n",
    "missing_df = missing_df.sort_values('filling_factor').reset_index(drop = True)\n",
    "missing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df_filling.copy(deep=True)\n",
    "df.reset_index(inplace = True, drop = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "推荐引擎"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gaussian_filter = lambda x,y,sigma: math.exp(-(x-y)**2/(2*sigma**2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def entry_variables(df, id_entry): \n",
    "    col_labels = []    \n",
    "    if pd.notnull(df['director_name'].iloc[id_entry]):\n",
    "        for s in df['director_name'].iloc[id_entry].split('|'):\n",
    "            col_labels.append(s)\n",
    "            \n",
    "    for i in range(3):\n",
    "        column = 'actor_NUM_name'.replace('NUM', str(i+1))\n",
    "        if pd.notnull(df[column].iloc[id_entry]):\n",
    "            for s in df[column].iloc[id_entry].split('|'):\n",
    "                col_labels.append(s)\n",
    "                \n",
    "    if pd.notnull(df['plot_keywords'].iloc[id_entry]):\n",
    "        for s in df['plot_keywords'].iloc[id_entry].split('|'):\n",
    "            col_labels.append(s)\n",
    "    return col_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def add_variables(df, REF_VAR):    \n",
    "    for s in REF_VAR: df[s] = pd.Series([0 for _ in range(len(df))])\n",
    "    colonnes = ['genres', 'actor_1_name', 'actor_2_name',\n",
    "                'actor_3_name', 'director_name', 'plot_keywords']\n",
    "    for categorie in colonnes:\n",
    "        for index, row in df.iterrows():\n",
    "            if pd.isnull(row[categorie]): continue\n",
    "            for s in row[categorie].split('|'):\n",
    "                if s in REF_VAR: df.set_value(index, s, 1)            \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def recommand(df, id_entry):    \n",
    "    df_copy = df.copy(deep = True)    \n",
    "    liste_genres = set()\n",
    "    for s in df['genres'].str.split('|').values:\n",
    "        liste_genres = liste_genres.union(set(s))    \n",
    "    #_____________________________________________________\n",
    "    # Create additional variables to check the similarity\n",
    "    variables = entry_variables(df_copy, id_entry)\n",
    "    variables += list(liste_genres)\n",
    "    df_new = add_variables(df_copy, variables)\n",
    "    #____________________________________________________________________________________\n",
    "    # determination of the closest neighbors: the distance is calculated / new variables\n",
    "    X = df_new.as_matrix(variables)\n",
    "    nbrs = NearestNeighbors(n_neighbors=31, algorithm='auto', metric='euclidean').fit(X)\n",
    "\n",
    "    distances, indices = nbrs.kneighbors(X)    \n",
    "    xtest = df_new.iloc[id_entry].as_matrix(variables)\n",
    "    xtest = xtest.reshape(1, -1)\n",
    "\n",
    "    distances, indices = nbrs.kneighbors(xtest)\n",
    "\n",
    "    return indices[0][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def extract_parameters(df, liste_films):     \n",
    "    parametres_films = ['_' for _ in range(31)]\n",
    "    i = 0\n",
    "    max_users = -1\n",
    "    for index in liste_films:\n",
    "        parametres_films[i] = list(df.iloc[index][['movie_title', 'title_year',\n",
    "                                        'imdb_score', 'num_user_for_reviews', \n",
    "                                        'num_voted_users']])\n",
    "        parametres_films[i].append(index)\n",
    "        max_users = max(max_users, parametres_films[i][4] )\n",
    "        i += 1\n",
    "        \n",
    "    title_main = parametres_films[0][0]\n",
    "    annee_ref  = parametres_films[0][1]\n",
    "    parametres_films.sort(key = lambda x:critere_selection(title_main, max_users,\n",
    "                                    annee_ref, x[0], x[1], x[2], x[4]), reverse = True)\n",
    "\n",
    "    return parametres_films "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sequel(titre_1, titre_2):    \n",
    "    if fuzz.ratio(titre_1, titre_2) > 50 or fuzz.token_set_ratio(titre_1, titre_2) > 50:\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def critere_selection(title_main, max_users, annee_ref, titre, annee, imdb_score, votes):    \n",
    "    if pd.notnull(annee_ref):\n",
    "        facteur_1 = gaussian_filter(annee_ref, annee, 20)\n",
    "    else:\n",
    "        facteur_1 = 1        \n",
    "\n",
    "    sigma = max_users * 1.0\n",
    "\n",
    "    if pd.notnull(votes):\n",
    "        facteur_2 = gaussian_filter(votes, max_users, sigma)\n",
    "    else:\n",
    "        facteur_2 = 0\n",
    "        \n",
    "    if sequel(title_main, titre):\n",
    "        note = 0\n",
    "    else:\n",
    "        note = imdb_score**2 * facteur_1 * facteur_2\n",
    "    \n",
    "    return note"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def add_to_selection(film_selection, parametres_films):    \n",
    "    film_list = film_selection[:]\n",
    "    icount = len(film_list)    \n",
    "    for i in range(31):\n",
    "        already_in_list = False\n",
    "        for s in film_selection:\n",
    "            if s[0] == parametres_films[i][0]: already_in_list = True\n",
    "            if sequel(parametres_films[i][0], s[0]): already_in_list = True            \n",
    "        if already_in_list: continue\n",
    "        icount += 1\n",
    "        if icount <= 5:\n",
    "            film_list.append(parametres_films[i])\n",
    "    return film_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def remove_sequels(film_selection):    \n",
    "    removed_from_selection = []\n",
    "    for i, film_1 in enumerate(film_selection):\n",
    "        for j, film_2 in enumerate(film_selection):\n",
    "            if j <= i: continue \n",
    "            if sequel(film_1[0], film_2[0]): \n",
    "                last_film = film_2[0] if film_1[1] < film_2[1] else film_1[0]\n",
    "                removed_from_selection.append(last_film)\n",
    "\n",
    "    film_list = [film for film in film_selection if film[0] not in removed_from_selection]\n",
    "\n",
    "    return film_list   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def find_similarities(df, id_entry, del_sequels = True, verbose = False):    \n",
    "    if verbose: \n",
    "        print(90*'_' + '\\n' + \"QUERY: films similar to id={} -> '{}'\".format(id_entry,\n",
    "                                df.iloc[id_entry]['movie_title']))\n",
    "    #____________________________________\n",
    "    liste_films = recommand(df, id_entry)\n",
    "    #__________________________________\n",
    "    # Create a list of 31 films\n",
    "    parametres_films = extract_parameters(df, liste_films)\n",
    "    #_______________________________________\n",
    "    # Select 5 films from this list\n",
    "    film_selection = []\n",
    "    film_selection = add_to_selection(film_selection, parametres_films)\n",
    "    #__________________________________\n",
    "    # delation of the sequels\n",
    "    if del_sequels: film_selection = remove_sequels(film_selection)\n",
    "    #______________________________________________\n",
    "    # add new films to complete the list\n",
    "    film_selection = add_to_selection(film_selection, parametres_films)\n",
    "    #_____________________________________________\n",
    "    selection_titres = []\n",
    "    for i,s in enumerate(film_selection):\n",
    "        selection_titres.append([s[0].replace(u'\\xa0', u''), s[5]])\n",
    "        if verbose: print(\"nº{:<2}     -> {:<30}\".format(i+1, s[0]))\n",
    "\n",
    "    return selection_titres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________\n",
      "QUERY: films similar to id=12 -> 'Pirates of the Caribbean: Dead Man's Chest'\n",
      "nº1      -> Pirates of the Caribbean: Dead Man's Chest\n",
      "nº2      -> Pirates of the Caribbean: At World's End\n",
      "nº3      -> Pirates of the Caribbean: The Curse of the Black Pearl\n",
      "nº4      -> Pirates of the Caribbean: On Stranger Tides\n",
      "nº5      -> Cutthroat Island              \n"
     ]
    }
   ],
   "source": [
    "dum = find_similarities(df, 12, del_sequels = False, verbose = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________\n",
      "QUERY: films similar to id=12 -> 'Pirates of the Caribbean: Dead Man's Chest'\n",
      "nº1      -> Pirates of the Caribbean: The Curse of the Black Pearl\n",
      "nº2      -> Cutthroat Island              \n",
      "nº3      -> The Hobbit: An Unexpected Journey\n",
      "nº4      -> The 13th Warrior              \n",
      "nº5      -> Red Sonja                     \n"
     ]
    }
   ],
   "source": [
    "dum = find_similarities(df, 12, del_sequels = True, verbose = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________\n",
      "QUERY: films similar to id=2 -> 'Spectre'\n",
      "nº1      -> Spectre                       \n",
      "nº2      -> Skyfall                       \n",
      "nº3      -> Quantum of Solace             \n",
      "nº4      -> The Art of War                \n",
      "nº5      -> Kick-Ass 2                    \n"
     ]
    }
   ],
   "source": [
    "dum = find_similarities(df, 2, del_sequels = True, verbose = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
